I’m a Software Engineer with 4+ years of experience building scalable backend systems, cloud-native applications, and interactive web platforms across fintech, healthcare, and enterprise domains.
o Designed and deployed a scalable, highly available, serverless AWS serverless technologies (API Gateway, Lambda, Kinesis, S3, DynamoDB, Web Sockets) to ingest over ~21,600 ML model outputs per hour from Runpod and stream actionable insights to the React frontend.
o Helped secure $1 M in pre-seed funding, enabling rapid expansion of our MVP and accelerated go-to-market for camera-free safety solutions.
o Worked at a fast-paced startup environment on Wi-Fi based user interface using React, NodeJS, Vercel enabling real-time, privacy-preserving threat detection in schools via passively interpreting Wi-Fi sensing technology—no cameras or wearables required.
o Developed and maintained infrastructure-as-code using SST (Serverless Stack Toolkit) to build new things from 0-1 quickly, accelerating cloud migrations by ~60% (using “write-once, deploy-everywhere”) and improving resource maintainability for the existing AWS infrastructure.
o Developed Boostlet.js, a JavaScript library enables real-time AI/ML processing of medical images in web browsers, created a comprehensive solution supports various data formats (e.g., EEGs, ECGs, X-rays, MRIs, and CTs).
o Designed a feature for image segmentation, data visualization, and integration with Hugging Face’s machine-learning models to enhance existing medical image processing libraries with client-side processing capabilities.
o Improved teamwork and iterative development processes using Git for Version Control, NodeJS for backend development, GitHub Actions for test automation and Submodules for external library integration.
o Implemented a clean and simple full stack recommendation platform following microservices based architecture with React as frontend framework, Spring Boot for developing a Java microservices for user management, analytics and recommendation engine.
o Implemented JSON-based user data storage with in-memory session handling and RESTful APIs for frontend-backend data exchange.
o Used transport layer like http, containerized using docker and orchestrated with docker compose for local development and integration.
o Established a testing protocol, JUnit and Jest for unit testing, and python for integration testing to validate workflows across the application.
