I build intelligent systems that go beyond a single prompt — multi-agent workflows, RAG pipelines, and LLM applications that retrieve, reason, verify, and act. Currently engineering Agentic AI at Infosys.
Get to know me
I'm a Software Engineer working as a Digital Specialist Engineer at Infosys Limited, where I develop Agentic AI applications with LangGraph and LangChain — multi-agent workflows, tool calling, memory, RAG pipelines, and human-in-the-loop systems.
My path into AI runs through both engineering and research. I graduated in Computer Science from VIT Chennai, where I also worked as an Undergraduate Research Assistant on deep learning for image classification — benchmarking architectures, tuning hyperparameters, and learning to evaluate models rigorously.
I believe the best AI systems aren't just clever — they're grounded, verifiable, and useful. That's the standard I build to, whether it's a clinical audit pipeline or the retrieval-based assistant on this page.
Multi-agent systems with LangGraph — supervisors, conditional routing, checkpointing, and human-in-the-loop.
RAG pipelines with vector databases that ground every answer in real documents.
Hands-on deep learning research — transfer learning, benchmarking, and rigorous model evaluation.
What I work with
Selected work
AI systems I've designed and built. Click any project for the full breakdown.
Professional journey
Academic background
Let's connect
Have an AI project, an opportunity, or just want to talk agents and RAG? My inbox is open.
I usually respond within a day. You can also reach me directly through any of these: