🚀 AI Engineer | Full Stack Developer | Systems Thinker
💼 Currently building AI-powered solutions at IBM
- 🔭 Working on AI-driven solution architecture assistants
- 🤖 Building RAG systems, multi-agent workflows, and LLM-powered apps
- 🧩 Experienced in frontend + backend + system design
- 🛠️ Passionate about turning complex problems into scalable products
- 🎯 Goal: Grow into a Technical Leader in AI Systems
- TypeScript
- Python
- JavaScript
- Next.js (App Router)
- React
- TailwindCSS
- ShadCN UI
- Node.js
- FastAPI
- Express
- LangChain
- LangGraph
- Ollama
- CrewAI
- LlamaIndex
- PostgreSQL
- Prisma
- Qdrant / Milvus (Vector DBs)
- Docker / Podman
- Nginx
- 🤖 AI Assistants (multi-agent systems, orchestration)
- 📚 RAG Systems (document ingestion, retrieval, reasoning)
- 💬 Chat Applications (real-time + AI integrated)
- 🔐 Auth Systems (Passkeys, OAuth, AppID)
- 📦 Full-stack Apps with scalable architecture
Helps solution architects generate architecture based on client requirements
- Multi-agent orchestration
- LLM reasoning + structured outputs
- Tool-based architecture generation
Local-first RAG pipeline with document ingestion
- Supports PDF, DOCX, PPTX
- Vector DB: Qdrant / Milvus
- LangChain + embeddings
Full-stack messaging platform
- Prisma + PostgreSQL
- Real-time messaging
- AI bot integration
- Agentic AI Systems (LangGraph, CrewAI, A2A)
- Local LLM infrastructure
- AI + UX (making AI usable, not just powerful)
- Distributed AI systems
- 💼 Open to collaborations in AI & system design
- 🚀 Always exploring new ideas in AI
I don’t just build apps — I design systems that think.