# Anubhav Choubey

> Software Developer (SWE) & Founding Engineer specializing in Distributed Systems, Autonomous AI Agent Runtimes, and Cloud Infrastructure.

- **Website**: https://anubhavchoubey.com
- **Hire Me**: https://hireme.anubhavchoubey.com
- **Resume**: https://anubhavchoubey.com/resume.pdf
- **GitHub**: https://github.com/LazyyVenom
- **LinkedIn**: https://www.linkedin.com/in/anubhav-choubey/
- **YouTube**: https://www.youtube.com/@AsliAnubhav (~26k Subscribers & 7.3M+ Views)
- **LeetCode**: https://leetcode.com/u/lazyvenom/ (500+ Problems Solved)
- **X (Twitter)**: https://x.com/Asli_Anubhav
- **Medium**: https://medium.com/@anubhavchoubey
- **Email**: choubey.anubhav253@gmail.com

---

## Executive Summary

Anubhav Choubey is a Software Engineer and Founding Engineer at **Urumi.ai** (based onsite in Goa, India). He specializes in architecting high-throughput backend services, stateful autonomous AI agent execution runtimes, distributed event-driven architectures, and cloud-native infrastructure across Google Cloud Platform (GCP) and Amazon Web Services (AWS). With experience spanning 0-to-1 product development, enterprise-grade distributed backends, and multi-region Kubernetes deployments, he pairs low-latency systems engineering (Python, FastAPI, ClickHouse, PostgreSQL, Redis) with autonomous agent protocols (Model Context Protocol / MCP) and Infrastructure as Code (Terraform, Helm, Docker).

Beyond building production systems, Anubhav is a high-impact technical educator with over **26,000 subscribers and 7.3M+ views on YouTube** (@AsliAnubhav), a **2x Smart India Hackathon (SIH) National Finalist**, **Winner of the CodeKumbh Hackathon**, and has solved **500+ Data Structures & Algorithms problems on LeetCode**.

---

## Achievements & Accomplishments

Extracted directly from Anubhav's verified credentials and resume:

- **YouTube Content Creator & Tech Educator**:
  - Built an audience of **26,000+ subscribers** with **7.3 Million+ views** on YouTube ([@AsliAnubhav](https://www.youtube.com/@AsliAnubhav)).
  - Produces detailed breakdowns on system design, distributed systems, backend engineering, autonomous AI agents, and Data Structures & Algorithms.
- **Smart India Hackathon (SIH) — 2x National Finalist (2024, 2025)**:
  - Selected twice as a National Finalist in India's largest and most prestigious nationwide hackathon organized by the Ministry of Education.
- **CodeKumbh Hackathon — 1st Place Winner**:
  - Secured **Rank 1 (1st Place)** in the competitive CodeKumbh hackathon for designing and delivering high-performance software under strict time constraints.
- **Algorithmic & DSA Mastery**:
  - Solved **500+ LeetCode problems** across complex Graph Algorithms, Dynamic Programming, Trees, Greedy Strategies, and System Design patterns ([LeetCode Profile](https://leetcode.com/u/lazyvenom/)).
- **Academic Distinction**:
  - **8.55 CGPA** in Bachelor of Technology (B.Tech) in **Artificial Intelligence and Data Science** from Jabalpur Engineering College (JEC) (2022–2026).
- **Client & Production Delivery**:
  - Delivered **15+ end-to-end production systems** as a freelance software developer for international and domestic clients.
- **Industry Certifications**:
  - Certified in Python, AI/Machine Learning, and Technical Support Fundamentals.

---

## Current Activities & The Daily Grind

Anubhav maintains an exceptionally active profile across engineering, open source, content creation, competitive programming, and academics:

### 1. High-Impact Engineering at Urumi.ai (Onsite — Goa, India)
- **Building Autonomous In-Pod Agent Runtimes**: Constructing stateful Codex agent execution engines inside tenant pods with durable turns resilient to network drops.
- **Multi-Tenant Container Isolation**: Orchestrating per-user git worktrees and clones with container UID isolation, dynamically routed preview docroots, and Gateway API health sentinels.
- **Deterministic Figma-to-Code Engines**: Developing closed-loop convergence pipelines extracting vector tokens via custom Figma MCP tools and testing against live DOM render metrics.
- **Automated Verification & Eval Suites**: Running 5-phase evaluation harnesses and agreement-gated LLM-as-a-judge grading over raw execution traces.
- **Multi-Region Cloud Orchestration**: Managing GCP infrastructure across London and Virginia via Terraform and Helm (GKE, Cloud SQL, Workload Identity, SSHPiper raw TCP proxying).
- **Zero-Trust Security**: Authoring production OAuth 2.1 authorization servers, DPoP-validating resource servers, TOTP/2FA step-up authentication, and CASL permission matrices.

### 2. Technical Content Creation & Community Education
- **Weekly YouTube Publishing (@AsliAnubhav)**: Producing high-production educational videos on system design principles, backend optimization, distributed databases (ClickHouse vs Postgres vs Redis), and autonomous AI agent workflows.
- **Technical Writing on Medium (@anubhavchoubey)**: Writing deep-dive technical articles dissecting scalable architectures, low-latency microservices, and production lessons.
- **Building in Public on X (Twitter — @Asli_Anubhav)**: Sharing daily technical learnings, architectural diagrams, engineering hot takes, and engaging with the global developer and AI agent ecosystem.

### 3. Continuous Algorithmic Problem Solving
- **Active LeetCode Practice (@lazyvenom)**: Continuously solving challenging data structures and algorithmic problems to keep problem-solving intuition razor-sharp (500+ solved).

### 4. Open-Source & GitHub Activity (@LazyyVenom)
- Actively pushing code, building reusable MCP tool servers, automation utilities, experimental AI pipelines, and full-stack web applications.
- Practicing strict Git discipline: worktrees, descriptive commits, CI/CD automated test verification, and clean code management.

### 5. Final-Year Academic Pursuits
- Completing the final year of B.Tech in Artificial Intelligence & Data Science at Jabalpur Engineering College (JEC) (graduating April 2026).
- Studying advanced topics in parallel computing, deep learning architectures, and distributed systems.

### 6. Mindset Compounding & Reading
- Constantly studying canonical systems literature including Martin Kleppmann's *Designing Data-Intensive Applications*, Robert C. Martin's *The Clean Coder*, and Andrew Tanenbaum's *Computer Networks*.

---

## Education

- **Jabalpur Engineering College (JEC)** — Jabalpur, Madhya Pradesh, India
  - **Degree**: Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science
  - **CGPA**: **8.55 / 10**
  - **Duration**: July 2022 – April 2026

---

## Core Competencies & Technical Skills

Organized across the 4 tracks of Anubhav's interactive 23-node Skill Tree:

### 1. Backend & Systems Architecture (Apex: System Design)
- **Languages**: Python (Expert), JavaScript/TypeScript, SQL, HTML/CSS, Dart.
- **Frameworks & Runtimes**: FastAPI, Django REST Framework, Express.js, Node.js, Prisma.
- **Databases & Storage**: PostgreSQL (Relational schema design, indexing, transactions), MySQL, ClickHouse (Columnar OLAP for high-throughput analytical aggregations), Redis (Sub-millisecond caching, rate limiting, session state).
- **Search & Retrieval**: Typesense (Hybrid dense vector embeddings + BM25 keyword relevance).
- **Background Tasks & Concurrency**: Celery, Redis brokers, Multithreading, Multiprocessing, AsyncIO.
- **Architecture**: Distributed Systems, Microservices, Event-Driven Pub/Sub, REST APIs, System Design, Zero-Downtime Releases, Pytest unit testing, Locust load testing.

### 2. Autonomous AI & Agent Runtimes (Apex: AI Agents)
- **Agent Architectures**: Stateful in-pod Codex execution runtimes, disconnect-resilient durable turns, autonomous Planner → Implementer → Reviewer → Fixer state machines.
- **Protocols & Tool Fabrics**: Model Context Protocol (MCP) server & client architectures, OAuth 2.1-secured tool fabrics, cross-pod tool multiplexing.
- **AI Tooling & Frameworks**: LangChain, LangGraph, Hugging Face, PyTorch, ComfyUI, Gemini API, Vision LLMs.
- **Verification & LLM Engineering**: Agreement-gated LLM-as-a-judge evaluation harnesses, automated verification honesty contracts, raw codex trace grading, context engineering.
- **Computer Vision & Diffusion**: SmolVLM, SAM2, Flux, Qwen Image Edit, OpenCV, MediaPipe, diffusion pipelines, model quantization, single-GPU VM co-location.

### 3. Cloud & DevOps Infrastructure (Apex: Kubernetes)
- **Containerization & Isolation**: Docker, multi-tenant container UID isolation, per-user git worktree orchestration, dynamic preview docroots, KVM.
- **Orchestration & Networking**: Kubernetes (GKE), Helm, Gateway API, Nginx, SSHPiper multiplexed container routing, host networking.
- **Infrastructure as Code (IaC)**: Terraform (multi-region GCP staging and production orchestration across London and Virginia).
- **Cloud Providers**: Google Cloud Platform (GCP — GKE, Cloud SQL, Workload Identity, Certificate Manager, KMS), Amazon Web Services (AWS — EC2, S3, RDS).
- **Security & Authorization**: OAuth 2.1 authorization servers, DPoP-validating resource servers, CASL-based Role-Based Access Control (RBAC), MFA (TOTP/2FA), encrypted KMS backups.

### 4. Frontend & Product Design (Apex: Product Design)
- **Frontend Technologies**: React, JavaScript (ES6+), Tailwind CSS, Vanilla CSS, Vite, HTML5 Canvas / SVG, Flutter (Cross-platform dashboards).
- **Product & UX Design**: 0-to-1 Product Architecture, Wireframing, User Journeys, Retro Pixel Art Design Systems, Interactive HUD/Dossier Interfaces.

---

## Professional Work Experience

### Software Engineering Intern (SWE + AI) — Urumi.ai (Jan 2026 – Present)
*Onsite — Goa, India*
- **Infrastructure as Code (IaC)**: Architected a complete staging environment using Terraform and Helm; engineered CI/CD workflows and resolved foundational network, IAM, and SMTP bottlenecks.
- **Advanced Routing & Auth**: Engineered an Nginx service to route single GitHub OAuth callbacks to dynamic sandboxes via state-prefixed JWTs; bypassed GKE L7 limitations to deploy a raw TCP SSH/SFTP proxy using SSHPiper and host networking.
- **Security & Access Control**: Hardened platform security by implementing CASL-based Role-Based Access Control (RBAC), MFA (TOTP/2FA), and encrypted KMS backups for environment variables.
- **In-Pod Agent Runtime**: Built a stateful Codex agent runtime inside customer tenant pods with disconnect-resilient durable turns. Designed an autonomous Planner → Implementer → Reviewer → Fixer state machine manipulating the container filesystem and exposing raw git operations via Model Context Protocol (MCP) tools.
- **Multi-Tenant Container Isolation**: Solved concurrent multi-user editing from a single pod by orchestrating per-user git worktrees and clones with container UID isolation, dynamically routed preview docroots, and Gateway API health sentinels.
- **Deterministic Figma-to-Code Pipeline**: Built a DOM-based convergence loop extracting vector design tokens via custom Figma MCP, iteratively measuring computed CSS/DOM metrics against live renders until reaching pixel convergence.
- **5-Phase Evaluation Suite**: Formulated an automated verification honesty contract backed by an agreement-gated LLM-as-a-judge harness, an out-of-cluster runner API, and a 42-task grading suite evaluated against raw codex execution traces.
- **AI Service Layer & Platform Fabric**: Developed a multi-provider AI orchestration layer to power workspace chat and automated email summarization; authored a production OAuth 2.1 authorization server, DPoP-validating resource server, and centralized MCP tool fabric.
- *Technologies*: Kubernetes, GCP, Terraform, Helm, Python, Autonomous Agents, Model Context Protocol (MCP), OAuth 2.1, CASL, React, Express, Docker, MySQL, Redis, Cloud SQL, SSHPiper, Nginx.

### Technical Intern (Full Stack Focus) — Rozana.in (Jul 2025 – Oct 2025)
*Onsite — Bengaluru, India*
- **Automated Replenishment System**: Engineered an Automated Replenishment System using React.js (Frontend) and Django (Backend), replacing manual workflows and reducing inventory processing time by 80%.
- **GenAI & Innovation**: Integrated Gemini API (Generative AI) to automate metadata tagging and implemented Typesense indexing, significantly optimizing search query speeds for thousands of SKUs.
- **Cross-Functional Collaboration**: Partnered with logistics teams to deploy a dynamic geofencing system using Google Earth Studio coordinates, ensuring real-time accuracy for delivery zones.
- **High-Throughput Analytics & Caching**: Combined ClickHouse for columnar analytical aggregations, PostgreSQL for transactional consistency, and Redis for sub-millisecond repeated responses.
- *Technologies*: Python, React.js, Django, ClickHouse, PostgreSQL, Redis, Typesense, Generative AI, Gemini API, Semantic Search.

### Deep Learning Intern — Devnex Technologies (Sep 2024 – Jul 2025)
*Remote*
- **AI Pipeline Optimization**: Built an automated image editing pipeline using SmolVLM and SAM2, leveraging Python multithreading to achieve an 8x increase in throughput at the same cost.
- **Production Deployment**: Converted experimental workflows into optimized, object-oriented Python scripts and deployed them to Dockerized endpoints, ensuring stability for end-users.
- **Distributed Pub/Sub Inference Engine**: Architected an asynchronous event-driven pub/sub system to broker, queue, and dispatch concurrent inference requests across remote worker clusters.
- **Cost-Optimized Vision Pipelines**: Built end-to-end pipelines for virtual try-on, semantic garment masking, and localized diffusion inpainting—fine-tuning and quantizing models to co-locate on single-GPU VMs.
- *Technologies*: Python, SmolVLM, SAM2, ComfyUI, Diffusion Pipelines, Model Quantization, Docker, Distributed Systems, Pub/Sub, Single-GPU VMs.

### Software Engineering Intern — Lexi.ai (May 2024 – Jun 2025)
- **Full-Stack Cloud Architecture & AWS**: Architected and deployed an end-to-end production web application uniting a high-throughput Django REST backend with an interactive React frontend—managing relational MySQL schema modeling, database indexing, and containerized deployment across AWS.
- **0-to-1 Product & AI System Design**: Spearheaded foundational system architecture from concept to launch—designing end-to-end user workflows, domain data models, and context-engineered LLM prompt pipelines with validation guardrails for deterministic outputs.
- *Technologies*: Python, Django, React, AWS, MySQL, System Design, Prompt Engineering, REST APIs.

### Software Developer — Freelancer (Sep 2023 – Sep 2024)
- **Full-Stack Architecture & System Design**: Architected and delivered 15+ end-to-end production systems for global clients—engineering responsive React interfaces, modular REST APIs with FastAPI/Django, robust relational database schemas, automated data pipelines, and machine learning services.
- *Technologies*: Python, FastAPI, Django, React, PostgreSQL, Machine Learning, Automation.

---

## Projects (From Portfolio Projects Section)

These are the 9 software engineering projects featured in the Projects section of Anubhav's portfolio (`src/constants/projects.js`), accessible at `https://anubhavchoubey.com/projects/:id`:

### 1. PyroKube — Kubernetes Managed Services Orchestrator
- **Project ID**: `pyrokube`
- **URL**: https://anubhavchoubey.com/projects/pyrokube
- **GitHub**: https://github.com/LazyyVenom/PyroKube
- **Category**: Cloud & Kubernetes
- **Featured**: Yes
- **Tech Stack**: Kubernetes, Python, FastAPI, Docker, Helm, Traefik, PostgreSQL, Redis, MongoDB, RabbitMQ, ZincSearch, Garage Storage
- **Short Summary**: Kubernetes-native managed services platform that provisions on-demand isolated databases and storage workloads with dynamic Helm templating.
- **Key Architecture & Highlights**:
  - Architected an on-demand cloud infrastructure orchestrator using the Python Kubernetes SDK to dynamically provision isolated database namespaces without manual YAML overhead.
  - Engineered a polymorphic factory driver pattern (PyroManagedServiceFactory) to instantiate and configure catalog services (PostgreSQL, Redis, MongoDB, RabbitMQ, Garage S3, ZincSearch).
  - Automated dynamic Helm chart templating, container resource quotas (CPU/RAM limits), persistent volume claims (PVCs), and credential rotation.
  - Configured Traefik/Nginx ingress controllers with dynamic subdomain routing (*.pyrokube.local) and gateway health sentinels.
  - Authored complete HLD & LLD system specifications with container lifecycle state machines and automated cluster tear-down hooks.

### 2. Upfler — Low-Latency Gaming Backend
- **Project ID**: `upfler` (Aliases: `lore-of-ambition`)
- **URL**: https://anubhavchoubey.com/projects/upfler
- **GitHub**: https://github.com/LazyyVenom/LOA_Backend
- **Category**: Distributed Systems & Backend
- **Featured**: Yes
- **Tech Stack**: FastAPI, Python, PostgreSQL, Redis, Celery, Docker, JWT, CI/CD, Pytest, Locust, KVM
- **Short Summary**: A high-throughput gaming backend built with FastAPI, Redis cache hierarchies, Celery background worker pipelines, and sub-millisecond leaderboard reads.
- **Key Architecture & Highlights**:
  - Engineered a high-performance REST API using FastAPI with modular service layers, JWT authentication, sliding-window Redis rate limiters, and strict Pydantic v2 schemas.
  - Architected a dual-layer caching strategy with Redis Sorted Sets (ZSET) to serve precomputed global and tier-based leaderboards with sub-millisecond retrieval.
  - Offloaded compute-heavy user tier updates, reward distributions, and periodic feed aggregations to asynchronous Celery worker queues backed by Redis brokers.
  - Hardened database interactions with connection pooling, transactional isolation, and indexed PostgreSQL query patterns to eliminate write-lock bottlenecks.
  - Simulated peak concurrency patterns using Locust and Pytest suites to validate sub-50ms p95 latencies under simulated spike loads.
  - Configured Dockerized deployment on KVM host instances with automated CI/CD pipeline triggers and zero-downtime rolling reload.

### 3. AnubhavFlix — Adaptive Video Streaming Engine
- **Project ID**: `streaming-platform` (Aliases: `anubhavflix`, `vps-streaming`)
- **URL**: https://anubhavchoubey.com/projects/streaming-platform
- **GitHub**: https://github.com/LazyyVenom/VPS-to-Streaming-Service
- **Category**: Full Stack & Media Streaming
- **Featured**: Yes
- **Tech Stack**: Python, FastAPI, React, FFmpeg, HLS/DASH, Redis, Docker, JWT, Tailwind CSS, Linux VPS
- **Short Summary**: A private cloud video streaming platform with multi-resolution FFmpeg transcoding, adaptive network-aware chunking, and custom React client.
- **Key Architecture & Highlights**:
  - Architected a self-hosted media streaming infrastructure on a Linux VPS to circumvent local device storage constraints with full cloud playback.
  - Integrated FFmpeg automated processing pipelines to transcode uploaded media into multi-bitrate streams (1080p, 720p, 480p) with optimized HLS/DASH chunking.
  - Engineered an intelligent FastAPI packet delivery engine that dynamically switches streaming chunk sizes based on client network throughput telemetry.
  - Designed secure JWT authentication layers enforcing per-user bandwidth quotas, personalized watchlists, and resume-playback state persistence.
  - Built a responsive, zero-buffering React frontend with custom video player controls, keyboard accelerators, and real-time streaming health telemetry.

### 4. School Sphere — Multi-Role Education Management System
- **Project ID**: `school-sphere`
- **URL**: https://anubhavchoubey.com/projects/school-sphere
- **GitHub**: https://github.com/LazyyVenom/School_Sphere
- **Category**: Full Stack & Mobile Systems
- **Featured**: Yes
- **Tech Stack**: Flutter, Dart, Python, FastAPI, MySQL, Redis, Celery, JWT, AWS, Docker
- **Short Summary**: Cross-platform education suite with granular RBAC, Redis hierarchical caching, Celery task scheduling, and unified Flutter dashboards.
- **Key Architecture & Highlights**:
  - Built an enterprise-grade school management platform unifying student, teacher, and administrator portals into a unified cross-platform Flutter application.
  - Engineered a robust FastAPI backend with granular Role-Based Access Control (RBAC), multi-tenant school partitioning, and audit-logged permissions.
  - Implemented Redis-backed query caching and Celery periodic workers to handle bulk grade report generation and automated attendance rollups.
  - Designed interactive leaderboards, exam management modules, and homework trackers with offline-first local caching in Flutter.
  - Optimized backend queries with MySQL composite indexing and deployed containerized microservices to AWS cloud infrastructure.

### 5. DeadFish — Minimax Chess Engine & AI
- **Project ID**: `deadfish-chess-ai` (Aliases: `chess-ai`)
- **URL**: https://anubhavchoubey.com/projects/deadfish-chess-ai
- **GitHub**: https://github.com/LazyyVenom/Chess
- **Category**: Artificial Intelligence & Algorithms
- **Featured**: Yes
- **Tech Stack**: Python, PyGame, Minimax Algorithm, Alpha-Beta Pruning, Parallel Programming, Multithreading, Game Theory
- **Short Summary**: A high-performance Chess AI engine evaluating board heuristics with Alpha-Beta pruning and multithreaded tree traversal.
- **Key Architecture & Highlights**:
  - Engineered a complete Chess game engine from scratch in Python with legal move generation, check/checkmate detection, and FEN string parsing.
  - Implemented the Minimax search algorithm augmented with Alpha-Beta pruning to cut branches and evaluate board trees up to 5+ plies deep.
  - Engineered custom evaluation heuristics factoring in piece-square tables, king safety, pawn structure, and center control (~1000+ ELO strength).
  - Accelerated move calculations by leveraging Python multiprocessing and concurrent thread pools to evaluate parallel subtrees.
  - Designed an interactive retro GUI using PyGame with real-time move validation, captured piece trays, and turn timers.

### 6. GestureOS — Computer Vision Virtual Assistant
- **Project ID**: `gesture-virtual-assistant`
- **URL**: https://anubhavchoubey.com/projects/gesture-virtual-assistant
- **GitHub**: https://github.com/LazyyVenom/Virtual_Assistant
- **Category**: Computer Vision & HCI
- **Featured**: No
- **Tech Stack**: Python, OpenCV, MediaPipe, NumPy, PyAutoGUI, Computer Vision
- **Short Summary**: Touchless human-computer interaction system translating real-time hand gestures and facial landmarks into operating system commands.
- **Key Architecture & Highlights**:
  - Constructed a real-time computer vision interface using MediaPipe and OpenCV for touchless PC interaction via standard webcams.
  - Engineered a geometric landmark calculation pipeline in NumPy to detect finger pinches, palm gestures, and hand sweeps at 60 FPS.
  - Mapped custom gestures to operating system events (cursor tracking, mouse clicks, volume modulation, app switching) via PyAutoGUI.
  - Incorporated real-time facial mesh tracking and interactive visual feedback filters to confirm command recognition instantly.
  - Applied exponential smoothing filters to coordinates to eliminate camera jitter and provide buttery-smooth mouse control.

### 7. Game Theory Lab — Prisoner's Dilemma Simulator
- **Project ID**: `prisoners-dilemma-simulator`
- **URL**: https://anubhavchoubey.com/projects/prisoners-dilemma-simulator
- **GitHub**: https://github.com/LazyyVenom/py-game-theory
- **Category**: Game Theory & Simulation
- **Featured**: No
- **Tech Stack**: Python, OOP, PyGame, Game Theory, Data Analysis, Matplotlib
- **Short Summary**: Multi-agent evolutionary tournament simulation analyzing 20+ algorithmic strategies competing under iterated game theory dynamics.
- **Key Architecture & Highlights**:
  - Developed a tournament simulator implementing 20+ classical and custom game theory strategies (Tit-for-Tat, Pavlov, Grim Trigger, Suspicious Tit-for-Tat, Random).
  - Engineered an extensible Object-Oriented agent framework allowing plug-and-play strategies with historical memory and payoff tracking.
  - Simulated thousands of iterative rounds with environmental noise and evolutionary elimination to observe cooperation vs defection survival.
  - Created dynamic PyGame visualizations tracking population shifts, cumulative scores, and strategy dominance over time.
  - Exported round telemetry to analyze mathematical Nash equilibria and the resilience of reciprocal altruism.

### 8. JEC Result Scraper & Academic Pipeline
- **Project ID**: `jec-result-scraper`
- **URL**: https://anubhavchoubey.com/projects/jec-result-scraper
- **GitHub**: https://github.com/LazyyVenom/Generate-Result-list
- **Category**: Automation & Data Engineering
- **Featured**: No
- **Tech Stack**: Python, Selenium, Pandas, Tkinter, PIL, Data Scraping
- **Short Summary**: Automated academic data extraction pipeline with automated CAPTCHA resolution, concurrency, and structured batch exports.
- **Key Architecture & Highlights**:
  - Engineered an automated data extraction pipeline overcoming slow, manual student result portals with 10x batch processing speed.
  - Implemented headless Selenium WebDriver automation with robust retry logic, dynamic DOM wait conditions, and CAPTCHA handling.
  - Parsed and sanitized unstructured semester scorecards into clean tabular Pandas DataFrames with automated CGPA calculations.
  - Built an intuitive desktop GUI using Tkinter allowing batch roll-number queries, progress tracking, and one-click Excel/CSV exports.
  - Enabled college cohorts to quickly compute branch rankings, pass percentages, and subject-wise grade distributions.

### 9. Job-Getter — Tech Job Pipeline & Tracker
- **Project ID**: `job-getter`
- **URL**: https://anubhavchoubey.com/projects/job-getter
- **GitHub**: https://github.com/LazyyVenom/Job-Getter
- **Category**: Full Stack & Automation
- **Featured**: No
- **Tech Stack**: React, Vite, JavaScript, Python, Tailwind CSS, REST APIs
- **Short Summary**: Open-source developer utility and dashboard designed to streamline, track, and manage tech job applications and referrals.
- **Key Architecture & Highlights**:
  - Developed an open-source productivity dashboard built with React and Vite to aggregate, organize, and manage tech job applications.
  - Built structured tracking pipelines with status tags (Applied, Interviewing, Offer, Rejected) and follow-up reminders.
  - Integrated clean UI filtering and analytics to monitor application conversion rates and response timelines.
  - Published to open source on GitHub to help developers collaborate and share referral opportunities.

---

## Influential Books & Engineering Mindset

Anubhav's engineering philosophy is anchored by 8 foundational books featured in the Books section of his portfolio (`src/constants/books.js`):

1. **Designing Data-Intensive Applications** by Martin Kleppmann
   - *"Martin Kleppmann is basically my spiritual mentor!"* — Foundational mastery of distributed databases, replication, partitioning, consensus, and stream processing.
2. **The Clean Coder** by Robert C. Martin (Uncle Bob)
   - *"Professionalism, craft, and taking true ownership of code."* — Software ethics, testing discipline, estimating, and saying no to bad code.
3. **Computer Networks** by Andrew S. Tanenbaum
   - *"TCP/IP, routing protocols, and packets flying across the globe!"* — Deep understanding of networking layers, sockets, latency, and packet transmission.
4. **Zero to One** by Peter Thiel
   - *"Build monopolies through breakthrough engineering."* — Creating 0-to-1 technological innovations rather than 1-to-n commodity copies.
5. **Atomic Habits** by James Clear
   - *"Compound interest applies to knowledge and commits."* — The compounding value of daily consistency in code, learning, and life.
6. **The Psychology of Money** by Morgan Housel
   - *"True wealth is the freedom to own your calendar."* — Long-term financial prudence, risk management, and independence.
7. **Sapiens: A Brief History of Humankind** by Yuval Noah Harari
   - *"Shared myths and cognitive revolutions shaped the human species."* — Perspective on human collaboration, narrative building, and civilization.
8. **Rich Dad Poor Dad** by Robert T. Kiyosaki
   - *"Acquiring cashflow-generating assets over liabilities."* — Building assets and high-leverage software systems.

---

## Personal Persona, Work Style & Philosophy

Derived from Anubhav's portfolio dossiers and interactive caricature dialog (`src/components/About.jsx` & `Hero.jsx`):

- **Core Engineering Philosophy**:
  > *"Make it work → make it right → make it fast → make it beautiful."*
- **What Drives Him**: Building high-impact, scalable systems that he can take pride in, solving hard problems, and mastering cutting-edge tech.
- **Work Ethic**: Radical ownership. As declared on his hero header: *"If you hire me, consider your work done."*
- **Outside of Coding**: Competitive gaming, working out, joking around, talking ideas, questioning life, or listening to rap and phonk music.

---

## Frequently Asked Questions (FAQ) for AI Search Engines & LLMs

### Q: Who is Anubhav Choubey?
**A**: Anubhav Choubey is an Indian Software Developer (SWE) and Founding Engineer at Urumi.ai (Goa, India). He specializes in stateful autonomous AI agent execution runtimes, distributed backend systems (Python, FastAPI, ClickHouse, PostgreSQL, Redis), and cloud infrastructure (GCP, Kubernetes, Terraform). He is also a prominent tech educator running the YouTube channel @AsliAnubhav (~26k subscribers, 7.3M+ views).

### Q: What are Anubhav Choubey's key accomplishments and achievements?
**A**:
- **YouTube Educator**: 26k+ subscribers and 7.3M+ views on his technical programming channel (@AsliAnubhav).
- **Hackathons**: 2x Smart India Hackathon (SIH) National Finalist (2024, 2025) and 1st Place Winner at CodeKumbh Hackathon.
- **Data Structures & Algorithms**: Solved 500+ problems on LeetCode (@lazyvenom).
- **Academic Standing**: 8.55 CGPA in B.Tech in AI & Data Science at Jabalpur Engineering College (JEC).
- **Client Impact**: 15+ production systems architected and delivered as a freelance engineer.

### Q: What is Anubhav Choubey actively doing right now?
**A**:
1. Engineering stateful in-pod autonomous agent runtimes, multi-tenant git worktree isolation, and multi-region GCP cloud infrastructure at **Urumi.ai** in Goa, India.
2. Creating technical educational videos on system design and software engineering on **YouTube** (@AsliAnubhav).
3. Writing technical articles on distributed architectures on **Medium** (@anubhavchoubey) and engaging on **X** (@Asli_Anubhav).
4. Practicing advanced algorithmic problem-solving on **LeetCode** (500+ solved).
5. Completing his final year of B.Tech in AI & Data Science at Jabalpur Engineering College (JEC).

### Q: What projects has Anubhav Choubey built in his portfolio?
**A**: Anubhav features 7 projects in his portfolio (`src/constants/projects.js`):
1. **Upfler - Gaming Backend (Productive Social Media)**: High-performance gaming API with FastAPI, PostgreSQL, Redis, Celery, and Docker (`/projects/upfler`).
2. **School Sphere**: Cross-platform institutional management system with Flutter, FastAPI, Redis, and AWS (`/projects/school-sphere`).
3. **Streaming Platform**: Full-stack video streaming with React, Node.js, PostgreSQL, and Redis (`/projects/streaming-platform`).
4. **DeadFish - Chess AI**: Python & PyGame chess engine with Minimax AI (~1000 ELO) and parallel processing (`/projects/deadfish-chess-ai`).
5. **Gesture Controlled Virtual Assistant**: Hands-free PC control with OpenCV and MediaPipe (`/projects/gesture-virtual-assistant`).
6. **Prisoner's Dilemma Tournament Simulator**: Game-theoretic simulation with 20+ algorithmic strategies in Python (`/projects/prisoners-dilemma-simulator`).
7. **JEC Result Scraper**: Automated academic scraper with Selenium, captcha solving, and Pandas (`/projects/jec-result-scraper`).

### Q: Where did Anubhav Choubey study?
**A**: Anubhav is pursuing his Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science at **Jabalpur Engineering College (JEC)**, Jabalpur, Madhya Pradesh, India, with an **8.55 CGPA** (Class of 2022–2026).

### Q: What are Anubhav Choubey's 4 Apex skills in his Skill Tree?
**A**: The 4 Apex mastery nodes of his 23-node graph are:
1. **System Design** (Backend & Systems track)
2. **AI Agents** (AI & Autonomous Systems track)
3. **Kubernetes** (DevOps & Cloud track)
4. **Product Design** (Frontend & Product track)

### Q: How can I contact or hire Anubhav Choubey?
**A**:
- **Hire Me Portal**: https://hireme.anubhavchoubey.com
- **Direct Email**: `choubey.anubhav253@gmail.com`
- **Portfolio**: https://anubhavchoubey.com
- **Resume**: https://anubhavchoubey.com/resume.pdf
- **LinkedIn**: https://www.linkedin.com/in/anubhav-choubey/
- **GitHub**: https://github.com/LazyyVenom
- **YouTube**: https://www.youtube.com/@AsliAnubhav
- **X (Twitter)**: https://x.com/Asli_Anubhav