Lead Software Engineer
California, USA
I am a software engineer specializing in full-stack applications and cloud infrastructure with experience automating legacy systems. I currently lead an engineering team building services to modernize manual onboarding processes with Kafka, Spring Boot, and AWS.
Outside of work I am an 8-time hackathon winner in IoT and robotics. You will usually find me running, climbing, working out or working on personal projects.
Remote
Remote
Remote
Remote
A training app for a household garage gym. Users build multi-week programs with a live muscle-coverage preview, run workouts with every set prefilled from their last performance, and log several people training at once from one shared phone. Workouts sync to a Next.js app on Vercel backed by Supabase, where progress charts track estimated 1RMs and PRs and a front/back muscle heat map shows training intensity by day, week, or program.
An autonomous quadruped robot and scout drone built for AMD’s Pervasive AI Contest 2024. The robot runs ROS2 on a Raspberry Pi, fusing GPS and IMU data for localization with gamepad control as a fallback. A React/TypeScript mission-control map built on Leaflet lets operators draw a search perimeter, place markers, track explored areas, and send waypoints to both the robot and the drone through an Express API.
San Jose, CA
A wildfire monitoring system built on a distributed LoRaWAN sensor network. Solar-powered nodes deployed in the field capture temperature, humidity, and smoke readings and relay them long-range to a leader node, which pushes everything to an Azure-hosted Express/MySQL backend. A React dashboard visualizes sensor status in real time.
Won 1st Place Overall and Best Use of Azure at SCEHacks 2021.
Santa Cruz, CA
An IoT water bottle that measures how much water is left — and how much you have actually drunk over time — using an ESP32 with an ultrasonic depth sensor and an IMU. Readings stream to a React/Node/MySQL stack deployed on GCP through a CI/CD pipeline, where a dashboard lets users set hydration goals and compete on leaderboards.
Won Best Health Hack, MLH’s Best Hardware Hack, and QB3’s Best Big Data for the Improvement of Health Care at CruzHacks 2022.
Davis, CA
A bicycle safety system that detects approaching cars with computer vision. An OAK-D depth camera and Raspberry Pi run a DepthAI/OpenCV model that estimates each vehicle’s direction and distance, warning the rider through directional LEDs and audio alerts. An emergency button texts the rider’s live location to a preset contact via Twilio, and ride data flows to a React/NestJS/MySQL app on GCP.
Won Most Technically Challenging Hack at HackDavis 2022.
Cincinnati, OH
An autonomous rover that patrols GPS waypoints and samples soil moisture, temperature, humidity, and air quality along the way. The robot pulls its patrol route as JSON from a web server, navigates with an onboard GPS module, uses computer vision to spot birds threatening crops, and uploads its readings to AWS for visualization on a React dashboard built around Google Maps.
Won Best Use of Web Automation Technology at MakeUC 2022.
Santa Cruz, CA
An IoT barbell collar that automatically counts reps and time under tension. A Raspberry Pi Pico W reads an MPU6050 IMU to detect lifts, with a custom three-button OLED interface for selecting exercises and weight. Workouts sync to a TypeScript/React/Node/MySQL app on AWS (EC2, RDS, S3), deployed via GitHub Actions, where users track progress and compete on exercise leaderboards.
Won Best Health Hack at CruzHacks 2023.
A browser-based serial telemetry tool for reading and writing data to microcontrollers — no drivers or installs required, just the Web Serial API with vanilla JavaScript and CSS. It is used by SJSU Robotics and in San Jose State University’s embedded systems courses, and is open source on GitHub.
San Jose, CA