I am an IIT Madras graduate and Senior Software Engineer with 5 years of experience building production-grade Generative AI and Agentic AI solutions. My work has focused on LLM application development, RAG, fine-tuning, Vertex AI, LangChain, LangGraph, AI agents, and cloud-native architectures across AWS and GCP.
I have delivered enterprise-scale AI platforms for healthcare and clinical workflows, including dataset discovery, literature intelligence, patient analytics, and clinical document generation. I enjoy building systems that turn complex data into practical, reliable, and measurable business outcomes.
In my current role at Bristol Myers Squibb, I have designed and shipped multiple AI-powered platforms that improved discovery speed, reduced review cycles, and automated regulated document creation. I have also worked on safety narratives, protocol scheduling, and patient funnel analytics, contributing to major operational savings and efficiency gains.
Previously, at Good Health Company, I built scalable SaaS and voice automation products, including an IVR system powered by Twilio and OpenAI real-time APIs. I also developed accounting and tax compliance tools, recommendation engines, Shopify websites, and marketing automation integrations, while improving performance, conversion, and deployment reliability.
Earlier in my career at Beehyv Software Solutions, I worked on healthcare and e-commerce applications using React.js, Node.js, Java, Spring Boot, Retool, SQL, and REST APIs. These projects strengthened my full-stack engineering background and my ability to deliver user-focused products across web and internal systems.
I bring a strong mix of AI engineering, full-stack development, cloud architecture, and product delivery experience. I am especially interested in building intelligent, scalable systems that improve workflows, automate repetitive tasks, and create meaningful impact in healthcare and enterprise environments.
