Ward Bradt is a software engineer with 9 years of experience focused on trading systems and quantitative infrastructure. He currently works at a trading firm and previously built trading and financial service technologies at Staked, where he helped the company secure a $4.5M funding round. His open-source work includes back-end contributions to a cross-exchange cryptocurrency arbitrage detector that applies Bellman-Ford graph algorithms to find profitable trading cycles across 131 exchanges in 50 countries. He interned at Facebook on machine learning for Instagram Reels retrieval and has taught data analytics and ML assignments as a Cornell TA. Comfortable at the intersection of math and engineering, he holds a BA in Mathematics and Computer Science from Cornell and brings practical algorithmic expertise to production trading environments. Contact: wardbradt5 at gmail.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA, Mathematics and Computer Science, Bachelor of Arts - BA, Mathematics and Computer Science at Cornell University
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
Role in this project:
Back-end Developer
Contributions:77 commits, 40 PRs, 200 pushes in 3 years 4 months
Contributions summary:Ward primarily contributed to the `peregrine` repository, which focuses on detecting arbitrage opportunities in cryptocurrency markets. Their work centered on modifying and enhancing the `bellman_multi_graph.py` and `bellmannx.py` files, indicating a focus on the core arbitrage detection algorithms. The commits demonstrate a deep understanding of graph theory, particularly the Bellman-Ford algorithm, and its application to identifying profitable trading cycles across multiple exchanges.
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