About
Software engineer combining enterprise scale and startup velocity. Shipped features to 42M+ users at CarGurus and built award‑winning AI products, including Meta’s Llama hackathon and Harvard EasyA & Polkadot ($5K). MSCS from Northeastern and dual degrees in Economics and Business from Boston University; worked with teams across the US, Italy, and China.
Work Experience
SecondSenseCase Study
- Redesigned luxury product discovery flow from 20+ field form to 5-step wizard enabling 300+ users to complete wishes in 7 days through progressive disclosure and improved UX
- Engineered Next.js/TypeScript wizard with AWS ECS job orchestration for automated product matching and personalized emails across 300+ subscriptions
CarGurusCase Study
- Collaborated in 10-person Agile team to develop vehicle detail and post-lead pages for multi-platform web application serving 21 million monthly vehicle page users (part of 42 million total monthly users)
- Migrated 10 legacy UI components to custom Radix UI library in 150,000+ line codebase and implemented A/B testing frameworks
E.R.WEB
- Collaborated with engineers to develop mobile React Native and desktop React vaping IoT applications serving 50,000+ users
- Implemented pixel-perfect UI components from Figma designs with Bluetooth connectivity and responsive layouts
Blue Reply
- Collaborated with product owners and analytics consultants to implement Google Analytics tracking across 5+ Whirlpool e-commerce sites serving 3M+ monthly users
- Developed React components for Luxottica's B2B eyewear e-commerce platform with product displays and permission management portal
CoderBunker
- Collaborated with tech lead and backend engineer to develop React-based retail music player for international sports retailer
- Built responsive login interfaces, analytics dashboard, and announcement system to enhance in-store experience
Education
Northeastern UniversityKhoury Community Service Award 2025
Boston University
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Project Interview Coach: AI Voice Interviewer with RAG
An AI-powered technical interviewer that conducts voice-based interviews about your project. Built with LiveKit for real-time voice communication and RAG (Retrieval Augmented Generation) for context-aware questioning.
AI Prompt System Monitor
Full-stack application for continuous evaluation and monitoring of AI prompt systems. Built to help application-layer AI teams monitor stability and test performance across models.
Memory: Meta Glasses Memory Assistant
🏆 Winner - Meta Llama Hackathon WebAI Track
A multimodal AI assistant that helps Meta Glasses users recall networking conversations by intelligently processing video through frame extraction, transcription, and Llama 4-powered analysis.
Tippin' Dots: Cross-Platform Social Tipping System
🏆 First Prize Winner at Polkadot & EasyA Harvard Hackathon ($5,000)
Cross-platform social tipping product connecting decentralized identities with Polkadot blockchain wallets, enabling seamless tipping across Bluesky.