Mark Mazumder
Machine Learning Engineer at Harvard University
Boston, Massachusetts, United States
Summary
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RockstarMark Mazumder is a Machine Learning Engineer and Harvard ML PhD candidate based in Boston with 14 years of experience blending research rigor and applied engineering. He specializes in taking advanced ML concepts from academic proof-of-concept to production-ready systems, leveraging deep technical training alongside long-term industry practice. Comfortable at the intersection of models, data infrastructure, and deployment, he focuses on building reliable, scalable pipelines that serve real-world products. His background suggests a knack for translating theoretical insights into measurable business impact and mentoring cross-functional teams through complex technical transitions.
14 years of coding experience
Github Skills (92)
keyword-search10
query-by-example10
few-shot-learning10
multilingual10
corpus10
keyword10
keyword-spotting10
scenic10
nlp9
servant9
speech-recognition9
natural-language-processing9
speech8
ghc8
benchmark7
Programming languages (9)
Github contributions (5)
harvard-edge/dataperf-speech-example
Feb 2022 - Feb 2023
Example workflow for our data-centric speech benchmark
Contributions:8 reviews, 36 commits, 13 PRs in 11 months
benchmarkingbenchmarkdata-centricspeechworkflow
mmaz/tmux
Jul 2019 - Oct 2023
Contributions:11 pushes, 3 branches in 4 years 3 months
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