Muhammad Alyaan Amir

I am an AI developer with hands-on experience building and deploying LLM-powered applications using LangChain, LangGraph, and RAG pipelines. I specialize in LLM training, fine-tuning, and prompt engineering to achieve domain-specific performance.

My work includes designing scalable APIs with Flask and FastAPI, integrating vector databases like Pinecone and ChromaDB, and collaborating with cross-functional teams to productionize AI features. I have reduced response latency and improved scalability in deployed solutions.

I have built several end-to-end projects—document format recommendation, dream-to-startup generators, sentiment-guided Quranic guidance, text-to-image generation, and an AI model recommender—demonstrating full-stack skills with Python, React, Streamlit, and modern ML tooling.

I hold a BS in Computer Science with minors in AI, ML, and Cloud Computing and pursue practical, user-centered AI systems that deliver measurable value for products and users.