Summary
Joshua Staker is a founder and machine learning engineer with 11 years of experience building scalable perception and scientific ML systems from research to production. He led early deep learning efforts in drug discovery at Schrödinger, advancing de novo molecular design and automated MD→FEP pipelines, then scaled those skills to large-scale 3D reconstruction and real-time visual monitoring at Claryo where he processed billion-point point clouds and terabytes of imagery. Joshua combines full-stack and MLOps expertise—parallelized training, AutoML tuning, cloud deployment—with hands-on inverse-rendering and structure-from-motion to deliver photorealistic virtual facilities exceeding 1M sq ft. Now founding CollabDash in Portland, he blends entrepreneurship with deep technical craft, often bridging chemistry-grade scientific pipelines and production CV systems. Notably, his background in chemical engineering and early experimental automation informs a pragmatic approach to system throughput and reproducibility that’s unusual for a CV-focused founder.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.), Chemical Engineering, Bachelor of Science (B.S.), Chemical Engineering at Brigham Young University