Tresi Arvizo is a Machine Learning Engineer in Boston with 14 years of experience building production ML and speech systems, currently improving Siri at Apple. Trained at MIT (S.B. and M.Eng. in EECS), she has deep hands-on expertise across acoustic modeling, ASR training, and tooling, and has been a primary developer on large-scale Java and C/C++ codebases. Her background at BBN spanned end-to-end ASR, REST service development, and porting an 850k LOC C/C++ project to modern toolchains, reflecting strength in debugging, optimization, and systems integration. A pragmatic advocate for Git and Docker, she focuses on practical, maintainable solutions that bridge research and production. Colleagues would note she prefers direct communication—unsolicited outreach is likely ignored—underscoring a no-nonsense, efficiency-minded working style.
14 years of coding experience
15 years of employment as a software developer
M.Eng, Electrical Engineering and Computer Science, M.Eng, Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Contributions:2 commits, 1 push, 1 branch in 1 day
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