- AI/ML Engineer experienced in LLMs, RAG pipelines, fine-tuning, and scalable inference systems.
- Skilled in Python, FastAPI, Streamlit, React, and cloud-based deployment (Render, Docker, GCP).
- Built production-grade full-stack AI apps integrating LangChain, LangGraph, Groq, OpenRouter, and Hugging Face APIs.
- Passionate about problem-solving — solved 300+ LeetCode problems to sharpen DSA skills.
- Outside tech: Manga 📚 | Car tuning 🚗 | Game lore 🎮
- Actively looking for AI/ML roles — check out my Resume.
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DocuMind
DocuMind PublicA full-stack RAG platform that turns documents into an intelligent, citation-aware AI knowledge assistant.
TypeScript
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Stress-Analysis-AI-System
Stress-Analysis-AI-System PublicAn end-to-end AI-powered stress detection and personalized counseling system leveraging machine learning for psychological assessment combined with LLM-driven conversational support. Provides real-…
TypeScript
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reasoning-from-scratch
reasoning-from-scratch PublicForked from rasbt/reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
Python
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Draftly
Draftly PublicDraftly is a Human-in-the-Loop (HITL) email drafting application where an AI generates email drafts and a human reviews, approves, or rejects them with feedback. If rejected, the AI redrafts incorp…
TypeScript
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