I’m Hassan Malik, an AI/ML engineer and software engineering student who loves building practical GenAI solutions—especially Retrieval-Augmented Generation (RAG) and autonomous AI agents. I enjoy turning ideas into end-to-end ML systems, from data ingestion and feature engineering to model evaluation and deployment, and then delivering them through clean APIs and user-friendly interfaces.
I’ve built LLM-powered applications using tools like LangChain/LangGraph, vector databases (FAISS/Chroma), and OpenAI/Groq APIs, along with solid engineering foundations in Python, SQL, FastAPI, and scalable backend design. I’m also passionate about real-world impact, whether it’s multi-agent research assistants, real-time computer vision tracking, or production-style ML pipelines that can serve predictions reliably.
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