Summary
Moishe Keselman is an applied math and computer science student and research-focused engineer with eight years of hands-on experience spanning machine learning, computer vision, robotics, and backend infrastructure. He combines research work on time-series neural models linking neural signals to behavior with production software experience from Amazon and several internships, demonstrating strength in building GUIs, backend systems, and low-level embedded firmware. Comfortable across the stack—frontends, C-based firmware, and cloud-backed data ingestion—he has a track record of turning ML prototypes into usable tools (e.g., a DeepLabCut sequence clustering GUI). Ambitiously headed toward computational biology, quantitative finance, or robotics, he’s currently pursuing advanced study in computational finance at Carnegie Mellon after beginning at the University of Washington. Notably, he blends academic curiosity with practical engineering: designing PCB test firmware and 3D-printed jigs one month and deploying AWS infrastructure for IoT devices the next.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Applied and Computational Mathematical Sciences, Freshman, Bachelor's degree, Applied and Computational Mathematical Sciences, Freshman at University of Washington
Master of Science - MS, Computational Finance, Master of Science - MS, Computational Finance at Carnegie Mellon University