Yaroslav came from OpenAI where he worked on algorithms to run neural networks under resource constraints. Previously he worked at Google Brain where he designed a system to replace manual StreetView labeling pipeline with a neural network.

Abhinav works on Computer Vision, AI/ML, & Robotics. He is an Associate Professor @ UMD. Before that, he was a visiting RS at Google AI. He completed his PhD in robotics from Carnegie Mellon University in 2017, where he was a MSR Fellow.

Exploring AI x Gaming ex: 100Thieves, AngelList

ML leader with experience in recommendations and humans-in-the-loop. Alum of Square and Stitch Fix. Here to learn and explore by doing. Currently fascinated by LLMs. "The future is already here—it's just not evenly distributed [yet]." –Neil Stephenson

Lifelong Midwesterner, currently living in Kansas City along with the wife and two pets (dog-Sunny, cat-Kit Cat). I'm passionate about building solutions with outcomes of healthier communities and people, which is what has led me to working in an endeavor that's aimed at helping to drive adoption of regenerative agriculture. (check out Rooted Ag) Beyond work, I love spending time in nature and observing, making warm connections with people, and listening to good music.

I’m a hacker and builder living in San Francisco/Burlingame, currently exploring AI agent startup ideas. I have over 10 years of experience in AIML and academic research.

6+ years of launching games, with experience designing and tuning complex in-game economies. Currently exploring infra to help games & consumer apps scale. Excited to swap learnings around monetizing consumer apps :) (ex-BCG, King, MPL)