Manuel Kelly
Research Assistant at San Diego State University
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolManuel Kelly is a computer engineer and research assistant in San Diego with eight years of hands-on experience building FPGA systems and applying machine learning to real-world problems. He has delivered flight-ready FPGA designs and high-speed optical communication modems (2.5G and 10G) for space applications, and has implemented end-to-end digital communication pipelines including LDPC/Viterbi FEC, ARQ, and Ethernet/IP transport. Currently pursuing ML research, Manuel works on diffusion-based offline reinforcement learning, fairness-aware multi-agent policies, and transformer-based sequential decision-making while co-authoring work on unlearning diffusion policies. His toolset spans VHDL/Verilog/SystemVerilog, AXI-based RTL, PyTorch/Flax, and embedded Zynq systems, enabling him to bridge FPGA hardware and ML software seamlessly. Notably, he combines space-grade engineering discipline with explorations in FPGA-accelerated ML and image upscaling—bringing production-ready rigor to cutting-edge research.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at San Diego State UniversityCal Poly PomonaAssociate of Science - AS, Mathematics, Associate of Science - AS, Mathematics at Crafton Hills CollegeProgramming languages (1)
Github contributions (5)
mankelly/VerilogProjects
Feb 2020 - Aug 2022
Contributions:131 commits, 129 pushes, 1 branch in 2 years 6 months
mankelly/VHDLProjects
Mar 2021 - Jun 2021
Contributions:42 pushes, 1 branch in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.