Engineered a high-performance Energy Management System, processing over 6,000 data packets per minute for real-time 30-second UI updates. Designed and implemented multi-tenant architecture, robust role-based access control, and OpenTelemetry observability, leading to streamlined alert responses, optimized maintenance workflows, and successful onboarding of 3 major companies.
Architected a real-time EIS visualization system with secure user authentication, leveraging Next.js, DynamoDB, and SQL Server. Developed a robust data pipeline capable of processing over 120 daily tests from 30+ parallel cell testing stations for comprehensive SOH analysis and performance characterization.
Engineered an AI-powered Conference Summarizer utilizing AWS services, OpenAI APIs, and Langchain, enabling efficient video summarization and transcript generation. This initiative contributed to a revenue-generating project focused on large-scale energy storage solutions.
Led the development of VoltFleet, a critical battery management platform, integrating with 2 client companies and boosting battery cyclability by up to 25% through actionable insights and alerts, leveraging PostgreSQL, DynamoDB, AWS Lambda, Next.js, and ExpressJS.
Developed the BattRev Android application for real-time Battery Management System (BMS) diagnostics, integrating BLE, GATT server, and MVVM architecture with Firebase Auth. Implemented asynchronous command-response processes, reducing diagnostic time by 40% and significantly optimizing battery testing workflows.