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boy397/README.md


⚡ Minimal. Elite. Systems-Focused.

AI-focused Full Stack Engineer building production-grade intelligent systems.

🎓 B.Tech + B.Sc. in Data Science (IITM)
🔬 Research-oriented AI builder
🚀 Product-driven system architect


🧠 Hardcore AI Research Focus

Current Research Direction

  • Hybrid Graph RAG + Semantic RAG architectures
  • Knowledge Graph construction from dynamic web data
  • Entity extraction pipelines
  • Retrieval optimization & response latency reduction
  • Context compression strategies for LLM inference
  • Production-safe AI deployment patterns

AI Stack

  • PyTorch
  • NLP systems
  • ChromaDB vector retrieval
  • Neo4j knowledge graphs
  • Groq LLM backend
  • RAG orchestration pipelines
  • Streamlit AI interfaces

Focus: Not just using LLMs — engineering systems around them.


🏗 FAANG-Style Engineering Principles

  • Clean architecture > framework hype
  • Strong typing (TypeScript-first)
  • API contract clarity
  • Scalable backend patterns
  • Observability & structured logging
  • Security-first authentication
  • Deployment-ready from Day 1

Tech:

Languages: Java | Python | C | TypeScript | JavaScript  
Frontend: React | Next.js | Tailwind  
Backend: Node.js | Express | REST APIs  
Database: PostgreSQL | Neo4j | Supabase  
DevOps: Docker | GitHub Actions | Linux | Vercel

🚀 Startup Founder Mode

I build systems that can scale into products.

🧠 AI Knowledge Graph Help Bot

  • Hybrid Graph + Semantic RAG
  • Neo4j + ChromaDB integration
  • Groq LLM backend
  • Unified retrieval orchestration
  • Optimized latency pipeline

🚗 WiFi Controlled Rover Interface

  • Real-time React dashboard
  • Gamepad control integration
  • Live camera streaming
  • ESP8266 backend communication
  • Clean 3D visualization UI

📊 Analytics Dashboard

  • Secure authentication
  • Role-based access
  • Supabase backend
  • Production deployment

📈 Mission

  • Google Summer of Code
  • Elite product internships
  • AI-native startup building
  • Deep expertise in Probability & Statistics
  • Advanced AI systems research

🏆 Open Source

Contributions in:

  • Hugging Face Transformers
  • Model documentation standardization
  • MLFlow callback improvements
  • Technical documentation upgrades

📊 GitHub Performance


🧬 Engineering Philosophy

Build systems, not demos.
Optimize for scale, not applause.
Design for failure.
Measure latency.
Own the full stack.
Ship.

🌐 Connect

LinkedIn: https://linkedin.com/in/your-link
GitHub: https://github.com/your-username
Email: your-email@example.com


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