Anthony Bisulco is a machine learning engineer and PhD candidate in Electrical and Systems Engineering at UPenn with a decade of experience blending academic research and industry R&D across signal processing, robotics, and computational acceleration. He holds an MEng from Cornell Tech and a BS from Northeastern and has contributed to camera systems and ML research at organizations including Meta and Samsung Electronics America. His background spans fast-moving product research and foundational lab work—from CERN and MIT Lincoln Laboratory to national lab internships—giving him a rare fluency in both theoretical methods and production constraints. He’s particularly experienced in optimizing algorithms for real-world sensing systems, translating signal-processing and optimization advances into deployable camera and robotics solutions. Colleagues value his ability to move between deep math and pragmatic engineering, and his trajectory suggests a focus on pushing hardware-aware ML and accelerated computation in perception systems.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS), Computer and Electrical Engineering, Bachelor of Science (BS), Computer and Electrical Engineering at Northeastern University
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at Cornell Tech
Doctor of Philosophy - PhD, Electrical and Systems Engineering, Doctor of Philosophy - PhD, Electrical and Systems Engineering at University of Pennsylvania
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Contributions:4 PRs, 119 pushes, 2 branches in 10 months
pytorchpythonboilerplatedata-sciencedeep-learning
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Anthony Bisulco - Machine Learning Engineer at upenn