Python developer, with a focus on Agentic System. I build production-ready tools — from intelligent data pipelines to RAG-powered AI assistants — with a bias toward practical impact in emerging markets.
- 🔭 Currently building AI applications using LangChain, FastAPI, and vector databases
- 🌍 Focused on solving local problems with global-standard engineering
- 📖 Learning: DSA for competitive programming | LLM fine-tuning & agent architectures
- 💬 Ask me about: Python, REST APIs, AI/LLM tooling, or database design
Languages
AI / ML
Backend & Databases
Tools & Platforms
AI assistant that answers legal and tax questions using Retrieval-Augmented Generation over local legislation documents.
Stack: FastAPI · LangChain · ChromaDB · pgvector · Python
Highlights: Document ingestion pipeline, semantic search over PDFs, context-aware Q&A
Automated stock watcher that sends real-time price alerts with trending news and basic price direction prediction.
Stack: Python · Requests · SMTP · News API
Highlights: Scheduled polling, email delivery, multi-stock tracking
🔗 View Repository
Secure desktop password manager with a clean GUI, local encrypted storage, and clipboard integration.
Stack: Python · Tkinter · JSON
Highlights: Tkinter GUI, password generation, local data persistence
🔗 View Repository
Collection of generative art and animation experiments using Python Turtle — for fun and to sharpen creative coding instincts.
Stack: Python · Turtle
🔗 View Repository
focus = {
"AI Engineering": ["RAG systems", "LLM agents", "vector search"],
"Backend": ["FastAPI", "async Python", "REST API design"],
"DSA": ["NeetCode 150", "LeetCode", "interview prep"],
"Databases": ["PostgreSQL", "pgvector", "query optimization"],
}I'm open to collaborations, open source contributions, and interesting problems to solve.
