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Building and shipping production-grade AI systems - from serverless cloud architectures to RAG pipelines and generative applications - that solve real problems at scale.
I'm an AI/ML Engineer at Tata Consultancy Services, currently contributing to a defence-domain project - implementing new features and delivering AI/ML components across PI cycles in a high-stakes production environment.
I build things end-to-end. From designing ML pipelines and LLM-powered applications to deploying serverless systems on AWS that run in production - I don't just prototype, I ship. Whether it's a RAG pipeline with semantic search, a fraud detection model on imbalanced data, or a full-stack AI tracker on Lambda, DynamoDB, and Bedrock, I care about code that works under real conditions.
Driven by hard problems, clean architecture, and the craft of turning complex AI research into something a real user can actually interact with.
Designing and deploying end-to-end ML pipelines with CI/CD, model versioning, and real-world performance in mind - not just notebooks.
Building RAG pipelines, multi-model chat interfaces, and Bedrock/Gemini-powered applications that go beyond demos into usable products.
Architecting serverless systems using Lambda, DynamoDB, CDK, Cognito, and EventBridge - scalable, cost-efficient, and production-ready.
Developing agentic systems, document Q&A tools, and AI-driven interfaces that reason over real data and deliver actionable output.
Open to new opportunities, collaborations, or just a conversation about AI and ML. Feel free to reach out!