Muhammad Khusham Ali

I'm a full-stack developer and AI engineer specializing in building agentic AI systems and production-ready web applications. My expertise includes designing multi-agent workflows with LangChain, LangGraph, and the OpenAI Agents SDK, integrating LLMs into real products rather than just prototypes.

On the full-stack side, I build with React, Next.js, Node.js, and FastAPI, backed by MongoDB and Firebase. I've shipped a creator-sponsor matchmaking platform, a native Android healthcare app built in Java with Firebase and OpenAI tool-calling, an AI-powered invoice anomaly detection agent built in a 24-hour hackathon, an automated invoice generator using Node.js and Puppeteer, and an AI image captioning pipeline deployed with AWS ECS, ECR, and Airflow.

I also work with vector and graph databases (Qdrant, Neo4j) for retrieval-augmented systems, and deploy applications on AWS (ECS, ECR). Currently expanding into Oracle Database and PL/SQL through a hands-on internship.

I support clients end-to-end - from architecture and technology selection through deployment - with clear communication and realistic timelines, so you get something that actually works in production, not just a demo.