Syed Rahman
Machine Learning Engineer at Woven by Toyota
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolSyed Rahman is a Machine Learning Engineer with a decade of experience building production ML and mapping systems, currently driving MLOps and map generation pipelines at Woven by Toyota in Tokyo. He combines deep learning expertise from LeapMind with full-stack engineering roots—C/C++, Go, JavaScript and Kubernetes—to automate HD/SD map quality checks and scalable satellite-to-map workflows. His work blends software solution architecture and Dagster orchestration to improve QA reliability and team efficiency, and he has hands-on experience optimizing geospatial ingestion with PostGIS and Go CLIs. Trained as a physicist (M.Phil./M.Sc.), he brings a research mindset to practical ML deployments, often closing the loop between prototyping and production. An early-stage entrepreneur and long-time developer, he has repeatedly moved projects from concept to robust delivery across startups and enterprise R&D.
10 years of coding experience
19 years of employment as a software developer
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Dept. of Physics, Rajshahi UniversityMaster of Philosophy (M.Phil.), Physics, Master of Philosophy (M.Phil.), Physics at Bangladesh University of Engineering and Technology
English, Japanese, Bangla
Github Skills (17)
intranet9
python8
php8
security8
marketing8
mysql7
google-analytics7
machine-learning7
tensorflow7
deep-learning7
matomo7
privacy6
web-analytics6
analytics6
mobile4
Programming languages (2)
Github contributions (5)
ananno/blueoil
Nov 2018 - Jun 2020
Bring Deep Learning to small devices
Contributions:4 PRs, 198 pushes, 25 branches in 1 year 7 months
deep-learningpythonmachine-learningtensorflow
ananno/tensorflow-pi
Aug 2017 - Aug 2017
Contributions:8 commits, 2 PRs, 4 pushes in 1 day
calculating-pipythontensorflow
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