I'm a Machine Learning and AI Engineer focussed on moving machine learning models out of research environments and into scalable production infrastructure. I specialize in high-throughput API design and multi-agent routing.
Currently, I am building and scaling AI inference architectures using Python and AWS Bedrock.
If you are a recruiter or engineer reviewing my profile, here is where you should look based on the architecture you are hiring for:
- If you care about Multi-Agent Systems & LLM Routing: Review my Support Chatbot. It routes complex queries using deterministic prompting on AWS Bedrock rather than rigid visual builders, validated by a custom LLM-as-a-judge pipeline.
- If you care about Async Backend API's: Review my Distributed AI Inference API.An async FastAPI service that validates requests with Pydantic, routes them to a model, and stores every result in PostgreSQL through SQLAlchemy with commit and rollback. Currently working on tests, Docker and load testing.
- If you care about Computer Vision & Deep Learning: Review my PCB Defect Detection repository, where I trained a PyTorch CNN to hit 94.8% validation accuracy on real-world manufacturing data.
- Backend: Python, FastAPI, PostgreSQL
- AI/ML: PyTorch, LangChain, AWS Bedrock, pgvector
- Infrastructure: AWS, GCP, Docker