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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2

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ImDebabrata/README.md

👋 Hi, I'm Debabrata Datta

AI Developer @ erbrains | Building production LLM applications & AI systems

logo

🔭 Current Focus

  • Applied AI at erbrains: LLM application development, RAG systems, AI agent workflows
  • Stack: Python, LangChain, LlamaIndex, FastAPI, Vector Databases (Pinecone/Weaviate/pgvector)
  • Transitioning from: 3+ years production Frontend Engineering → Applied AI

🏗️ Engineering Background (3+ years)

  • Frontend Lead capabilities: React, Next.js, TypeScript, React Query, Redux, RxJS
  • Architected & shipped at scale:
    • Multi-tenant healthcare platform (5+ tenants, isolated deployments, RBAC)
    • Real-time EV fleet tracking (1,000+ vehicles, OpenLayers, marker clustering)
    • Server-side PDF generation with custom pagination & encryption
    • Device-specific responsive systems (component-level, not just CSS)
  • React Query expertise: True optimistic updates w/ rollback, typed wrapper layer, centralized query-key factory, cursor/page infinite scrolling

🚀 Featured Projects (Engineering Depth)

Project Stack Highlights
Social Connect Next.js 15, TypeScript, Prisma, PostgreSQL, Socket.io, Docker Full-stack social platform. True optimistic updates w/ rollback (React Query), cursor-based infinite feeds, real-time messaging via separate Socket.io microservice
Highlight Saver Extension TypeScript, Chrome Ext MV3, esbuild, Gemini API Shadow-DOM UI injection, local-first storage, on-demand AI summaries

Note: AI projects from my work at erbrains are proprietary. This profile demonstrates the engineering rigor I bring to AI development — clean architecture, typed systems, caching strategies, and production-grade delivery.

🛠️ Tech Stack

AI/ML (Current): Python, LangChain, LlamaIndex, OpenAI/Anthropic APIs, Hugging Face, RAG, Agent Patterns, Vector DBs
Backend: FastAPI, Node.js, Express, PostgreSQL, MongoDB, Redis, Prisma
Frontend (Deep): React, Next.js, TypeScript, Tailwind, React Query, Redux, RxJS, Framer Motion
DevOps/Tools: Docker, GitHub Actions, Git, Linux, VS Code

📈 What I Bring to AI Engineering

  • Production mindset: 3+ years shipping user-facing SaaS at scale
  • Type-safe by default: TypeScript → Python type hints, Pydantic, strict configs
  • Caching & state expertise: React Query patterns transfer directly to LLM response caching, conversation memory, tool call optimization
  • System design: Multi-tenant architecture, RBAC, isolated deployments — relevant for multi-user AI apps
  • Learning velocity: Self-taught, bootcamp grad, consistently shipped complex features

📫 Connect

Currently building AI systems at erbrains. Open to conversations about applied AI, LLM app architecture, and full-stack AI product engineering.

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