Full-stack Machine Learning Engineer specializing in production LLM systems at scale. Bringing founder's urgency with enterprise rigor to translate cutting-edge research into real-world impact.
Technical lead for cross-functional teams across platform, mobile, and MLOps. Architecting production LLM systems with vLLM and collaborating with Fortune 500 clients.
Led 9-developer team building Sound Journey app with 10K+ downloads and 4.8★ rating. Developed ML-powered photo restoration and multiple iOS/watchOS apps.
First-year CS student selected for competitive fintech internship, contributing to high-volume trading systems.
Founded and architected platform from zero to 500+ monitored stations in 3 months. Built end-to-end system processing daily telemetry points with React/Next.js, Node.js/FastAPI, PostgreSQL/TimescaleDB on AWS. Led team of 8 engineers, achieving 99.99% uptime with blue-green deployments and cost optimization saving 40%.
Research on enhancing deep learning model generalization for medical imaging across different equipment vendors. Proposed data-centric strategies using annotation-guided intensity manipulation and style transfer to improve segmentation accuracy for breast cancer screening applications.
Selected as one of 350 winners worldwide. Invited to Apple Park for exclusive sessions with Apple engineers. Built innovative AR astronomy app with custom graph isomorphism algorithm matching user-drawn constellations against astronomical database in real-time, processing 88 constellation patterns in <50ms.
Astronomy app for iOS and watchOS with custom astronomical algorithms. Features real-time celestial body tracking, WidgetKit integration, and SiriKit support. Available on the App Store.
iOS weather app with intelligent push notifications and SQLite persistence. Built with SwiftUI and WeatherKit for hyper-local weather data.
Always interested in new opportunities, collaborations, and conversations about technology and design.