Chief Technology Officer at Stealth Mode - Fintech Startup
Palo Alto, California, United States
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Summary
👤
Senior
🎓
Top School
David Uhm is a CTO and AI specialist with a decade of experience building scalable ML and cloud-native systems across autonomous vehicles, fintech, and media search. He led production-grade digital-twin and LiDAR-based 3D pipelines at LG using Hadoop/Spark on AWS and developed ROS2 behavioral cloning and deterministic physics for realistic simulator-driven training. As a lead contributor to the LGSVL simulator, he improved core timing, sensor fidelity, and reproducibility—skills he now applies to blockchain and crypto infrastructure at a stealth fintech. Earlier roles include designing billion-record video search and embedding pipelines, multi-threaded crawlers, and real-time ML services, demonstrating full-stack fluency from backend and DevOps to deep learning. Based in Palo Alto, he blends hands-on engineering with technical leadership and a practical bias for reproducible, production-ready AI systems.
10 years of coding experience
9 years of employment as a software developer
EECS, Electrical Engineering and Computer Sciences, EECS, Electrical Engineering and Computer Sciences at University of California, Berkeley
Computer Science, Computer Science at Hongik University
A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Role in this project:
Backend & DevOps Engineer
Contributions:60 commits, 61 comments in 2 years 2 months
Contributions summary:David primarily focused on improving the simulator's core functionalities. They fixed GPS message issues to incorporate linear velocity, improved the use of randomization through predefined seeds in multiple controllers, and optimized coroutines for time management within the simulator. The user also made significant changes to the editor settings, and API commands, setting master seed to use in Unity Editor.
Contributions:3 commits, 1 push, 3 comments in 1 year 9 months
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David Uhm - Chief Technology Officer at Stealth Mode - Fintech Startup