Behnam Samadi
Senior Data Scientist Machine Learning Engineer
Tehran, Iran
Summary
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Senior🎓
Top SchoolBehnam Samadi is a Senior Data Scientist and Machine Learning Engineer with 7–8 years building production-grade AI systems across computer vision, MLOps, and large-scale search. He has delivered measurable business impact—cutting document verification time by 80% at Snapp!, reducing promotion forecasting error by 34% and boosting daily deal revenue by 41% at Digikala, and enabling cost-effective edge deployments at Sensifai through dramatic speed and memory improvements. Comfortable owning end-to-end pipelines, he has scaled image search for catalogs of 8M+ products, optimized real-time video analytics, and slashed offline processing from 12 hours to 30 minutes. With an MS in AI and a background in both research and hands-on optimization for embedded and distributed systems, he blends algorithmic rigor with pragmatic engineering to deploy models where they matter. An often-overlooked strength is his repeated focus on cost-to-deploy reductions, turning GPU-bound prototypes into efficient edge and real-time services.
7 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at K. N. Toosi University of TechnologyMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Iran University of Science and Technology
English, Persian, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
similarity5
visualization4
nvidia4
deepstream4
object-detection3
video-processing3
data-visualization2
Programming languages (1)
Github contributions (5)
BehnamSamadi/Real-Time-Video-Event-Analyzer
Jul 2020 - Mar 2022
A Real-Time platform for Analyzing Video Events based on Video Similarity
Contributions:31 commits, 25 pushes, 1 branch in 1 year 8 months
analyzingvisualizationeventsvideo-eventssimilarity
BehnamSamadi/deep-stream-object-tracking
Feb 2022 - Aug 2022
This sample project demonstrates how to implement object detection and tracking using NVidia DeepStream
Contributions:9 commits, 8 pushes, 1 branch in 5 months
deepstreamnvidiaobject-detection
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