Summary
Matt Redmond is an AI engineer and mathematical generalist with eight years of experience building production systems that blend statistical modeling, simulation, and efficient engineering. He’s shipped control and planning algorithms for Project Loon’s stratospheric fleet, improved GP wind prediction performance, and built fast, scalable data tooling at Strava and Airbnb that yielded multi-hundredx speedups. Comfortable moving between research and production, he has applied mixed-integer quadratic programming to real-world administrative problems and led efforts to separate data and compute layers for large analytics pipelines. As an educator he taught advanced discrete math, algorithms, and compilers to high school students, advising clubs and balancing algorithmic fairness in school policy. Based in San Francisco with an MIT background, he combines deep mathematical intuition with pragmatic software craftsmanship and a knack for squeezing performance out of both algorithms and infrastructure.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Massachusetts Institute of Technology