# David Huang

> SWE @ Google

Location: Brooklyn, New York, United States
Profile: https://flows.cv/davidhuang

MS/BS in CS from WashU. Previously at Amazon, currently at Google. Developing infrastructure powering on-device AI.

## Work Experience
### Software Engineer @ Google
Jan 2022 – Present | New York, United States

### SDE1 @ Amazon
Jan 2020 – Jan 2022 | Austin, Texas, United States

### Teaching Assistant @ Washington University in St. Louis
Jan 2018 – Jan 2019 | Greater St. Louis Area
Teach 150+ students how to use  backend and frontend technologies (AWS, Node.js, PHP, Ajax, SQL, etc...) to build and host web applications. Collaborate with other TA's and the instructor to improve students' learning experience.

### Software Engineer Intern @ Day Zero Diagnostics, Inc
Jan 2019 – Jan 2019 | Greater Boston Area
Led the construction of a Python data pipeline to parse and clean 100,000+ blood samples from hospitals and uploaded to a PostgreSQL database 
Created auditing scripts that caught 1,000+ misinterpretations in-hospital test results to reveal insights in their labs’ inefficiencies
Configured Docker with Apache Superset and writing SQL queries to visualize the sample data for clinical researchers

### Software Engineer Intern @ Shell
Jan 2018 – Jan 2018 | Greater Boston Area
Developed full stack solutions and wrote unit tests to ensure maintainability. Led the frontend development of financial software that saved Shell $170M in oil rig deployment and deconstruction costs. Actively participated in design sprints and taught backend interns React/Redux to convert them to full stack.

### Junior Developer Intern @ Noonlight (formerly SafeTrek)
Jan 2018 – Jan 2018
Built a hands-free iOS app that detects car accidents while driving. Researched methods to detect accidents through iOS-native Location Services. Setup OAuth with Noonlight’s API to call police/medical services in the event of an accident.

### Research Assistant @ University of Nebraska Medical Center
Jan 2016 – Jan 2016 | Greater Omaha Area
Conducted chemical stains on hundreds of slices mice brains infected with Alzheimer's disease. Used ImageJ, Adobe Photoshop, and Excel to quantify the prevalence of a-β plaques in the hippocampus (area and volume). Effectively use lab equipment (single channel pipette, light microscope, western blot processors) and safely handled hazardous materials and live specimen under a fume hood.


## Education
### MS/BS in Computer Science
Washington University in St. Louis
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/dhuang52

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Source: https://flows.cv/davidhuang
JSON Resume: https://flows.cv/davidhuang/resume.json
Last updated: 2026-03-23