Matthew De Soto
Software Engineer at Jane Street
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMatthew De Soto is a software engineer with a strong foundation from Carnegie Mellon and hands-on experience across full-stack, backend, and machine learning systems at companies including Google, Facebook, and Jane Street. He has shipped production improvements ranging from a .NET/Angular rental platform to a PyTorch Embedding Table that reduces memory usage in distributed training and a PYMK model that boosted friending rates by over 20%. Comfortable working at the intersection of ML, computer vision, and reinforcement learning, he combines research-oriented thinking with pragmatic engineering on latency- and memory-sensitive systems. Based in New York, he brings an unusual blend of fintech/trading desk exposure at Jane Street and large-scale ML product experience, making him adept at translating models into reliable, production-grade services.
11 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Terra Environmental Research InstituteBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Carnegie Mellon University
Github Skills (17)
python9
gpu9
deep-learning8
machine-learning8
neural-network7
numpy7
tensorflow7
gpu-acceleration6
tensor6
autograd6
acceleration6
minecraft6
miner5
binding4
api3
Programming languages (4)
Github contributions (5)
m1234d/build18
Oct 2019 - Jan 2020
WHAC!
Contributions:22 commits, 21 pushes, 2 branches in 3 months
m1234d/saysjokes
Mar 2015 - Jun 2018
Contributions:2 pushes in 3 years 3 months
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