David Stanford is an FPGA engineer with 10+ years of experience turning algorithms into high-performance hardware, currently advancing low-latency network acceleration at Optiver in Chicago. He has led FPGA teams and set platform-wide design, build, and test practices at Two Sigma, and previously drove robust hardware-in-the-loop verification and nightly integration testing at trading firms like KCG/Getco. Comfortable bridging firmware, system integration and embedded software, he has a track record of reducing software load by moving critical parsing and messaging into hardware. An active contributor to cocotb test suites, he improves RTL verification tooling and documentation to ensure examples work across Python versions—an indication of his focus on reliable, reproducible verification. Trained with an M.S. in Electrical/Computer Engineering, he combines deep digital-design roots from aerospace and defense with pragmatic production experience in finance.
10 years of coding experience
17 years of employment as a software developer
Master of Science, Electrical Engineering
Computer engineering focus, Master of Science, Electrical Engineering
Computer engineering focus at Illinois Institute of Technology
Bachelor of Science, Electrical Engineering; electrical engineering and computer science, Bachelor of Science, Electrical Engineering; electrical engineering and computer science at Valparaiso University
Contributions:3 reviews, 18 commits, 10 PRs in 1 year
Contributions summary:David's commits primarily focused on improving and maintaining the test suite for the cocotb project. The commits include fixes for existing tests, updates to examples, and improvements to testbench documentation. The changes specifically targeted issues in the `endian_swapper` and `axi_lite_slave` examples, ensuring they function correctly across different Python versions. The documentation updates indicate efforts to improve the usability and understanding of testbench tools.
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