Open to full-time engineering opportunities globally (Australia, USA, India).
I am an AI & ML Engineer specializing in bridging the gap between sophisticated Artificial Intelligence research and robust, scalable web architectures.
My engineering philosophy centers on delivering high-impact technological solutionsβfrom training deep neural networks to deploying resilient MLOps and LLMOps pipelines. I build systems that don't just function, but scale elegantly.
- π Education: M.Kumarasamy College of Engineering (MKCE), Karur, India
- π Currently Building: Enterprise-grade LLM applications and scalable microservices
- π± Currently Learning: Advanced Agentic Workflows & Multi-Modal architectures
- π€ Open to Collaborate on: Open-source AI tooling, MLOps infrastructure, and Web3 integrations
"Good architecture is about designing systems that are easily understandable and highly adaptable."
Core focus on LLM orchestration, Computer Vision, and automated training pipelines.
Crafting responsive, high-performance user interfaces with modern React ecosystems.
Designing serverless architectures, ASGI microservices, and containerized deployments.
π€ Agentic AI Workflows & LLMOps
Building robust evaluation and deployment pipelines for Large Language Models. Exploring LangChain, LlamaIndex, and custom retrieval-augmented generation (RAG) architectures to solve complex enterprise search problems.
π Full-Stack Cloud Platforms
Architecting end-to-end web platforms using Next.js, Node.js, and MongoDB. Focusing on zero-downtime deployments via Docker and AWS infrastructure to ensure global scalability.
β‘ High-Performance Computing (Python/ASGI)
Writing asynchronous, highly concurrent backend systems in Python. Utilizing FastAPI and ASGI servers to drastically reduce latency for machine learning inference endpoints.




