# Adam Selker

> Robots, algorithms, all sorts of exploratory work

Location: Berkeley, California, United States
Profile: https://flows.cv/adamselker

I'm a generalist engineer. I thrive on mixed, interdisciplinary work, especially across the hardware/software boundary.

At Joby Aviation, I worked with radar data. While brainstorming algorithms and debugging Python code, I had to keep the hardware in mind, because it defined both the shape of the data and the requirements for the algorithms' performance.

At Olin College, I was on project teams working on everything from embedded C++ to graphic design. My favorite was a network of sensors to detect Legionella, where I got to the circuit boards, firmware, and mesh-network architecture at the same time, letting each influence the other two.

A favorite personal project was an AI to play Ultimate Tic-Tac-Toe. This game is unsolved; state-of-the-art is a Monte-Carlo tree search with hand-tuned heuristics. I trained a neural-network-powered bot on self-play until it could reliably beat me with just a few seconds' computation per turn.

I'm excited to help build things people need, whether that's medical devices, weather forecasts, or apartment buildings. Every problem is interesting if you look deeply enough.

## Work Experience
### Data Scientist @ Rhiza Research
Jan 2025 – Jan 2025 | Oakland, California, United States
• Designed and implemented weather data analysis algorithms. Detected hardware failures without access to the hardware. Extracted usable information from noisy, fault-filled data.
 • Worked with weather station manufacturers, fleet managers, and maintenance staff. Helped design systematic fleet-management tweaks, to improve uptime without increasing costs.

### Software Engineer - Radar @ Joby Aviation
Jan 2020 – Jan 2023 | Redwood City, California, United States
I helped build a radar system to track the airplane's motion. It would watch the ground go by, and track the plane's motion, like an optical mouse. I designed the algorithms, implemented them in Python, and tested them. Some were completely novel radar-odometry algorithms, some were adapted from existing visual-inertial SLAM concepts. I also wrote a novel least-squares optimizer. I had to focus on tight write-test-iterate loops, because it was new territory for my team, and we had no idea what would work.


## Education
### Master of Engineering - MEng in Electrical Enineering and Computer Science
University of California, Berkeley

### Bachelor of Science - BS in Electrical and Computer Engineering
Franklin W. Olin College of Engineering


## Contact & Social
- LinkedIn: https://linkedin.com/in/adam-selker-635009178
- Website: https://adam.selker.com/resume.pdf
- Website: https://adam.selker.com/portfolio.html

---
Source: https://flows.cv/adamselker
JSON Resume: https://flows.cv/adamselker/resume.json
Last updated: 2026-04-05