Sina Dabiri
Building An Innovative Marketing Product
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSina Dabiri is a data-driven full-stack ML and data scientist with 8 years of experience applying deep learning and production ML to real-world problems, currently building an innovative marketing product in the San Francisco Bay Area. He holds a PhD in Transportation Systems Engineering and an MS in Computer Science from Virginia Tech, where he developed novel semi-supervised and deep-learning models for transportation mode detection and social-media traffic event extraction. At Lime he shipped multiple production systems—real-time broken-vehicle detection, NLP ticket classification, and demand forecasting—bridging research, backend implementation, and A/B experimentation. His background in large-scale GPS labeling and Spark-accelerated pipelines reflects a practical focus on scalable data engineering as well as modeling. Comfortable moving between research and product, Sina blends transportation research rigor with startup speed to deliver impactful ML features.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science, Civil Engineering, Bachelor of Science, Civil Engineering at Shiraz UniversityGraduate Certificate, Data Analytics, Graduate Certificate, Data Analytics at Virginia TechMaster of Science, Civil Engineering, Master of Science, Civil Engineering at Sharif University of Technology
Stackoverflow
1reputation
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Programming languages (2)
Github contributions (5)
sinadabiri/Deep-Semi-Supervised-GPS-Transport-Mode
May 2019 - Dec 2019
Contributions:2 commits, 18 pushes in 7 months
sinadabiri/Deep-Learning-Codes
Dec 2017 - May 2019
Contributions:1 PR, 11 pushes, 2 branches in 1 year 4 months
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