RISHABH SINGH

Developing AI-powered code generation tooling for IDE extensions (Eclipse/VSCode) using FastAPI and Java, processing 1MB files in <3s with <500ms incremental updates. Implemented Merkle tree-based diff detection and multi-language parsing for 10000+ file codebases, supporting 10+ parallel files within 200MB memory per file. Collaborated with an international team using translation tools for technical communication.

Developed and architected critical systems for battery management and energy solutions, focusing on real-time data processing, visualization, and system optimization to drive efficiency and support business growth.

• 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.

Contributed to the development of a core Android application, implementing new features and optimizing data models to support business expansion.

• Contributed to the Zing Android application, implementing new features and adapting data models using Kotlin, Cloud Firestore, and MVVM with Flows, which facilitated the successful onboarding of 22 new retail stores.

Provided mentorship and guidance to aspiring developers, fostering a collaborative learning environment and promoting skill development in Android technologies and core development principles.

• Played a key role as a Senior Android Developer and Mentor, providing guidance on development fundamentals and various platforms, fostering interest and continuous learning among mentees.

Engineered Next.js application with TypeScript, Tone.js, and ElevenLabs API that transforms 30-second voice recordings into personalized lullabies via real-time voice cloning, browser-based audio processing, and multi-layered mixing with MIDI-to-speech conversion in under 30 seconds.

A Next.js application using shadcn/ui, Framer Motion, that analyzes Rocket League replay files and recommends a song based on playstyle. Implemented Google OAuth, used PostgreSQL database with RLS policies, Vercel hosting, and background processing via Supabase Edge Functions

An innovative Hospital Management app designed to streamline hospital processes and optimize resource allocation.