Thomas Mayo-smith
Principal at Every Single Indicator
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolThomas Mayo-smith is a Principal software engineer and data scientist based in New York with a decade of experience building production-grade systems across healthcare, elections, fintech, and quantitative trading. He has led end-to-end projects that combine ML, large-scale data processing, and reliable infrastructure—most notably a ballot redaction service that processed tens of millions of images at >200 images/sec and contributed materially to company ARR while protecting voter privacy. Comfortable across microservices, cloud-native tooling, model deployment, and backtesting pipelines, he has shipped high-throughput systems using Docker/Kubernetes, Spark, AWS serverless, and monitoring stacks like Grafana/Datadog. His background includes quantitative strategy development and EMG-driven rehabilitation research, reflecting a rare mix of production engineering and applied ML experimentation. Currently open to NYC roles in healthcare or quantitative trading where he can cross-collaborate rather than remain siloed.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Carnegie Mellon University
Github Skills (8)
aws-services4
pytorch2
java2
tensorflow2
aws2
machine-learning2
api2
api-client1
Programming languages (1)
Github contributions (5)
GeneralMayo/ParallelizedRNN
May 2016 - Dec 2016
Contributions:2 commits, 4 pushes, 1 branch in 7 months
GeneralMayo/752Project
Apr 2017 - May 2017
Contributions:5 commits, 4 pushes, 1 branch in 26 days
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