Richard Whitcomb
Boston, Massachusetts, United States
Summary
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RockstarRichard Whitcomb is a VP of Engineering with 11 years of hands-on experience building ML-driven platforms and production-grade distributed systems, currently leading Osmo’s team that predicts molecular properties such as smell. He has designed AI infrastructure and data platforms at NVIDIA for autonomous vehicle workflows, and previously shipped large-scale ML systems at Spotify and Twitter that powered personalization, experimentation, and user classification. His technical interests span graphical interfaces, computer vision, data analytics, and microservice architecture, with a track record of marrying research-grade models to robust engineering practices. Richard is comfortable operating across the stack—from GPU-accelerated data pipelines and Spark scaling to model deployment and experiment infrastructure—and has led cross-team migrations and performance-oriented tooling improvements. He brings a blend of product-focused curiosity and systems-level rigor, including practical work on TTS deployment and experimental frameworks. Based in Lynnfield, MA, he pairs academic training in CS and Math with experience at both startups and major platform companies to turn complex data problems into reliable, scalable products.
11 years of coding experience
Github Skills (63)
streaming10
xgboost10
spark10
bigquery10
dataflow10
scalding10
breeze10
scala10
apache-arrow10
algebird10
google-cloud10
parquet10
batch10
beam9
ml9
Programming languages (8)
Github contributions (5)
richwhitjr/bazel-sample
Feb 2016 - May 2018
Contributions:9 pushes, 1 branch in 2 years 3 months
richwhitjr/richwhitjr.github.io
Dec 2022 - Jul 2025
Contributions:8 pushes, 1 branch in 2 years 6 months
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