Tal Darom
Sr. Applied Scientist at Amazon
Avtalion, North District, Israel
Summary
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Senior🎓
Top SchoolTal Darom is a seasoned technology leader and Sr. Applied Scientist at Amazon, with 11+ years in machine learning, deep learning, computer vision, and software engineering across distributed systems, big data, mobile, and embedded devices. As VP of R&D at Datagen, he scaled the team from 25 to 75, launched a self-service SaaS platform, and built a 150-person content studio in India to support synthetic data generation for ML training. At Amazon, he led ML training/evaluation infrastructure, unified data access for researchers, and guided the transition of deep learning algorithms from research to production, including work on Echo Look features. His early 3D object recognition research—coauthoring papers with Yosi Keller—provides a strong academic foundation that informs robust, production-grade solutions. He has demonstrated the ability to bridge academia and industry across Israel and globally, scaling organizations and delivering end-to-end AI systems from cloud to embedded devices. He holds an MSc in Electrical Engineering from Tel Aviv University and a BSc from Technion, and is based in Avtalion, Israel.
11 years of coding experience
24 years of employment as a software developer
B.Sc., Electrical Engineering, B.Sc., Electrical Engineering at Technion - Israel Institute of TechnologyM.Sc., Electrical Engineering, M.Sc., Electrical Engineering at Tel Aviv UniversityHumanities, Humanities at The Open University of Israel
English, Hebrew
Stackoverflow
1,389reputation
325kreached
53answers
9questions
Github Skills (24)
caffe9
machine-learning9
deep-learning8
pytorch8
computer-vision6
neural-network6
opengl6
opencv6
gradient-descent6
matlab6
image-processing6
julia5
mutation5
python5
javascript5
Programming languages (2)
Github contributions (5)
talda/ldsift
Nov 2014 - Mar 2015
Contributions:7 commits, 1 push, 1 comment in 4 months
talda/openai_usage_logger
Feb 2024 - Feb 2024
Contributions:1 release, 13 pushes, 1 branch in 1 day
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