Current Areas of Interest: 1. Abundance in Housing and Energy -> https://worksinprogress.co/issue/the-housing-theory-of-everything/ -> How can we utilize new technology to help achieve abundance in both housing and energy both of which are essential for every part of the economy 2.

Experience

2023 — 2025Invisible AISoftware Engineer 2

2023 — 2025

San Francisco Bay Area

2022 — 2022NuroSoftware Engineer

2022 — 2022

San Francisco Bay Area

Redesigned C++ calibration parameter infrastructure to a more hierarchical structure reducing duplicated code by over 60%

Integrated a new proto message format for the calibration params reducing the size of these messages by over 40%.

Implemented 12 sensors in the new calibration parameter format including: lidar, radar, camera, and IMU sensors.

2021 — 2021MongoDBSoftware Engineer Intern

2021 — 2021

New York, New York, United States

Reduced support time for customer issues on Atlas by 10% by creating new admin features using Java

Increased observability of the Atlas System by 10% by adding Prometheus metrics and Grafana dashboards

Created new admin routines that solved pending Index HELP tickets 50% faster than previous methods

Implemented extensive unit and integration tests using Java Mockito

2020 — 2020BeingoSoftware Engineer Intern

2020 — 2020

Implemented a link shortener service that reduced link length by 65% allowing for easy sharing across social media

Designed and developed a web scraper that automatically creates a chatbot decreasing deploy time by 20%.

Engineered and deployed a public REST API for the web scraper utilizing Amazon LightSail, Nginx, and Flask

2019 — 2019National Institute of Standards and Technology (NIST)PREP Intern

2019 — 2019

Greater Denver Area

Redesigned a REST API for IoT devices to publish information to external mapping system using Flask, HTML, and CSS.

Restructured rigid SQL database to MongoDB database decreasing time taken to add new devices by almost 100%.

Enabled the project to use horizontal scaling infrastructure instead of more expensive vertical scaling using MongoDB.

Decreased setup time by 95% and added scalability features using Docker containerization and bash scripts.

Documented design decisions and quick setup instructions on previously undocumented code for quick setup time.

Education

Georgia Institute of Technology

Bachelor of Science - BS

University of Colorado Boulder College of Engineering & Applied Science

Experience

Education

Bachelor of Science - BS

Bachelor of Applied Science - BASc