Senior Software Engineer at IQVIA

Led the end-to-end development of an internal knowledge and research-sharing platform that helps researchers across the organization share insights, discover related work, and support each other more effectively. Designed and implemented scalable backend services in Python and Node.js using an event-driven architecture, deploying them on AWS and setting up automated CI/CD pipelines with GitHub Actions. Built an intelligent search engine combining semantic and vector-based retrieval, and developed a research co-pilot using RAG with Azure OpenAI and a fine-tuned LLaMA 3 model. Created an AI-driven sales management platform that automates key sales workflows, boosting productivity through data-driven lead discovery and personalized multi-channel outreach, and enhanced this further by integrating graph-based knowledge representations with LLM-powered analysis. Developed responsive, SEO-optimized frontend applications with React, TypeScript, Redux, and Next.js, focusing on performance, usab

Senior Software Engineer at AI MLOps Platform

Played a key role in bringing a full life cycle MLOps management product to market, helping drive it from initial concept and design through to production launch and real-world usage. Delivered end-to-end MLOps features across the stack: Python/Node.js services exposed via GraphQL/REST APIs, plus a React/TypeScript (Next.js) console used by teams to deploy, govern, and manage models at scale. Built seamless train-to-serve workflows by integrating external training stacks (e.g., Determined AI) with Algorithmia’s deployment plane, standardizing promotion from experiments to robust production endpoints. Implemented production monitoring hooks and metrics pipelines with Kafka and New Relic, providing real-time model and system telemetry that enabled proactive performance tuning and faster incident response.