Maciek Chociej is a software engineer in New York with 10 years of experience building high-performance systems at the intersection of game engines, physics simulation, compilers, and large-scale ML infrastructure. He has shipped production features that drove meaningful business impact—a suggestion engine for a $1B/year ads product that improved conversion by ~7–12%—while also working on cutting-edge research applications like teaching a multi-eyed, 20+ DOF robotic hand to manipulate a Rubik’s cube. His technical breadth spans rendering and computer vision stacks for large-scale RL, procedural 3D environment generation for navigation agents, and a domain-specific language plus codegen framework for dense numerical methods. Trained in theoretical computer science with graduate work in grid computing, he combines rigorous academic grounding with hands-on engineering to optimize computational pipelines and simulators. Colleagues describe him as someone who comfortably moves between low-level performance engineering and system-level design, often finding non-obvious algorithmic or tooling shortcuts that unlock scale.
10 years of coding experience
Finished PhD programme, dropped out, no dissertation, Theoretical Computer Science, Finished PhD programme, dropped out, no dissertation, Theoretical Computer Science at Uniwersytet Jagielloński w Krakowie
V Liceum Ogólnokształcące w Krakowie
MSc, Theoretical Computer Science, MSc, Theoretical Computer Science at Jagiellonian University
MSc, Grid Computing, MSc, Grid Computing at Cranfield University
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