Experience
My professional journey from startups to big tech
Software Engineer
Alphabet / Google
- Successfully productionized Jetpack authentication flows to surface passkeys on the Android OS, a new form of credentials
- Designed and implemented metrics system to analyze passkey flows and adoption across the platform
- Generated various full-stack sample applications that showcase to partners how to utilize new passkey flows
- Mentored first batch of mentees, helping them grow in their engineering careers
MIT 6A Fellow – Machine Learning Research
MIT & Cadence Design Systems
- Built a Monte Carlo Tree Search system in Java with reinforcement learning augmentations, inspired by AlphaGo
- Applied novel RL techniques to solve printed circuit board (PCB) routing problems that were previously unsolved
- Focused on creating feedback loops with constant improvement in terms of actions taken to solve boards
- Thesis available on MIT DSpace; worked with Professor Cathy Wu and Cadence engineers
Software Development Engineer Intern
Amazon Prime Video
- Researched and designed entire system, implementing modular and well-documented code for future maintenance
- Created a provider for team's machine learning platform using Java and AWS CDK
- Successfully integrated multiple teams' software and dependencies through inter-team technical communication
- Crafted team-approved design patterns using abstract data types, immutability, and extensible safe code
Software Development Intern
Brain Power
- Researched and designed one of the company's first complete Unity C# modules for AR autism support tools
- Built systems reading high-fidelity sensory data to feed accurate information to Google Glass AR systems
- Completed extensive cost analysis and performance testing ensuring optimal device performance
- Prototyped AR game to comfort autistic children, featuring 3D portal spheres between rooms
Founding Software Development Engineer
Buddi (Mental Health Startup)
- Created Android and iOS apps with Java and Swift for use by IRB study participants
- Built entire Python Flask backend for app and IRB research study; first author for BMES poster
- Created Java client backend to analyze Android OS-level data; migrated backends to Node.js
- Implemented TensorFlow/Keras emotion recognition CNN using ResNet and seq2seq chatbot
Technical Skills
Languages
Java, Python, C++, C#, JavaScript, Swift, Go
Frameworks
Flask, React Native, Node.js, Spring, Unity, TensorFlow
Cloud & Tools
AWS, CDK, Docker, Git, Linux/Ubuntu
Leadership
MIT UAV Club President, ISA Webmaster