Ryan Holmdahl
Engineer at Pocket Worlds
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolRyan Holmdahl is a machine learning engineer with a decade of experience building production ML systems and leading teams at high-growth consumer tech companies. He has driven customer-support automation and launched customer-facing LLM experiences at Cash App, improved recommendation systems at TikTok, and researched novel deep-learning techniques for next-gen AI hardware at Cerebras. Comfortable bridging research and production, he pairs Stanford-trained CS rigor with hands-on engineering to move models from prototype to scale. Based in Palo Alto, he now applies that blend of technical leadership and business sense at Pocket Worlds, where he continues to focus on practical ML impact in consumer-facing products. An under-the-radar strength is his track record of shipping across diverse domains—from mobile and video object detection to conversational AI—showing adaptability and breadth beyond any single specialization.
10 years of coding experience
5 years of employment as a software developer
BS + MS Computer Science, BS + MS Computer Science at Stanford University
Stackoverflow
23reputation
737reached
0answers
2questions
Github Skills (12)
tensorflow6
python6
subprocess6
logger3
logging3
visualization2
data-driven2
layout2
visualizations2
graph-layout1
graph1
assemble1
Programming languages (3)
Github contributions (5)
ryanholmdahl/qlearn
Oct 2015 - Oct 2017
Contributions:43 commits, 3 pushes in 1 year 11 months
ryanholmdahl/cs273b
Oct 2018 - Dec 2018
Contributions:194 pushes, 2 branches in 1 month
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