Dynamic Software Engineer with a proven record of building scalable, high-impact systems across cloud, data, and AI platforms. Experienced in designing APIs, smart UIs, and ML-powered solutions that cut costs and boost performance at enterprise scale.
Engineered and deployed a multi-agent RAG system using LangGraph and LangChain with a FastAPI backend, implementing agentic tool orchestration, persistent chat history (UI and backend) via BaseCheckpointer and Amazon DynamoDB for cross-session memory, improving multi-turn query resolution accuracy and reducing data discovery time by 40%.
Designed and built a React front-end dashboard for enterprise teams, providing developers with a centralized, real-time view of end-to-end test results to reduce deployment risks.
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Utilized MSW (Mock Service Worker) for streamlined API mocking during UI development and testing, accelerating the build cycle for the testing insights dashboard until the API was ready to be connected.
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Implemented reusable web components and client SDKs for Backend-for-Frontend micro-frontend platform with SSO-based auth, role-based access control, token validation, and secure API gateways; supporting 40+ teams and processing 1M+ monthly requests.
Developed and deployed a containerized ML model on AWS to identify inactive usage patterns and recommend optimal app clustering via biweekly email alerts, reducing departmental cloud costs by 43%.
