Full stack web developer for 3 years. Main frontend framework is React and Redux. Experience in backend work using Node.js, Express, and Koa. Database experience using MySQL and MongoDB. Embedded development and IoT experience using single board computers such as Arduino and Raspberry Pi professionally.

Experience

2022 — 2024Electriq PowerEmbedded Software and Full Stack Engineer

2022 — 2024

San Leandro, California, United States

Used node.js, React with Electron app used to test Sierra Wireless IOT gateway. Improved manufacturing speed by 40%.

Developed Python-based microservice to track IOT device versions. Used FastAPI and Celery, using Redis as message broker.

Created React app to view and schedule updates to devices.

Developed microservice to manage partner OpenADR programs with TypeScript, Node.js and Express. Maintain

synchronous state with other services using gRPC and asynchronous state using GCP’s Pub/Sub service. Stored data in

PostgreSQL database. Deployments orchestrated with Kubernetes

2022 — 2022ZoomFull stack Web Developer

2022 — 2022

San Jose, California, United States

Developed backend systems in SpringBoot to handle emergency phone numbers, including a custom handler for suicide

prevention hotline 988, providing region-based responses and redirection to national services. Used Gradle to build code.

Designed and implemented a Vue.js dashboard for admins to track user activity in Zoom, pulling data from a MySQL database.

2018 — 2021Magnitude.ioLead Embedded Engineer and Full Stack Software

2018 — 2021

Berkeley, California, United States

Built a website and Chrome extension to stream data from Arduino devices to computers for real-time visualization.

Backend & Data Streaming: Developed data pipeline to stream sensor data from chrome extension to the React-Redux

client and to a Node.js server, which stored it in MongoDB. MongoDB data enabled users to look at prior session data.

Frontend: Used React-Redux to make dynamic graphs to display sensor data as it was streamed or read from MongoDB.

Infrastructure: Managed AWS instances using Terraform to handle server instances.

Identified and solved design error for PCB designed for Raspberry Pi. Designed logic-level converter with Eagle PCB, worked

with manufacturers to get converter manufactured. Reduced rejects of product from 15% to less than 1%.

Reduced compiled file size, RAM usage by ~10% for Arduino C++ code, in part by reducing code duplication using OOP.

Education

2017 — 2021

UC Santa Barbara

Bachelor of Science - BS

2017 — 2021

2014 — 2017

Berkeley City College

2014 — 2017