Sahand Farhoodi
Software Engineer at Google
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolSahand Farhoodi is a software engineer at Google with seven years of experience bridging advanced research and production systems, currently based in Boston. He earned a dual technical foundation in mathematics and computer engineering from Sharif University and is a Ph.D. candidate in Statistics at Boston University, where he spent five years as a graduate research assistant and taught calculus. His work sits at the intersection of NLP and systems—during a Google internship he developed deep-learning word segmentation models that dramatically reduced data size (up to 94%) and improved F1 for languages like Thai and Burmese. Comfortable moving research into real-world products, he combines strong quantitative skills with hands-on software development on internationalization and language-focused tooling. An inquisitive engineer, he brings both theoretical rigor from his PhD training and practical impact from shipping solutions at scale.
7 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Engineering - Information Technology, Bachelor's degree Computer Engineering - Information Technology at Sharif University of TechnologyDoctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at Boston University
Persian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
internationalization10
localization10
segmentation10
slugify10
translation10
unicode10
cldr10
icu10
rust9
Programming languages (3)
Github contributions (5)
unicode-org/lstm_word_segmentation
Sep 2020 - Jun 2022
Python code for training an LSTM model for word segmentation in Thai, Burmese, and similar languages.
Contributions:9 reviews, 128 commits, 7 PRs in 1 year 8 months
segmentation
SahandFarhoodi/Accelerated-Statistics-for-Quantitative-Research---Fall-2019
Sep 2019 - Dec 2019
Contributions:50 commits, 46 pushes, 1 branch in 2 months
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