Senior computer vision researcher with 9 years of industry experience and peer-reviewed publications. My passion is turning brainstorms into real world algorithms. and baking cakes.
Overview
9
9
years of professional experience
7
7
years of post-secondary education
Work History
Tech lead & Team leader
AutoBrains
01.2023 - 01.2025
Self & semi-supervised learning for advanced embedding space methods
Leading and mentoring 7 researchers in all algorithmic areas of the team: object detection, semantic segmentation, lane detection and more
Working closely with the CEO for moonshot cutting edge research
Involved in multiple patent applications for self-supervised learning systems
Senior Computer Vision Researcher
CommonGround-AI
01.2021 - 01.2023
Working on the majority of DL-related projects in the company
3D face geometry estimation from RGB images and audio signals
Developed the company’s first temporal geometry estimation model
Generative models, 3D data augmentation, 3D hands movement estimation from RGB images, User ID authentication from image
Research Tech Lead, Computer Vision
BeyondMinds
01.2019 - 01.2021
Leading applied research projects from brainstorming to deployment
Leading BeyondMinds’ core IP modules and tailor-made customer projects
Self-supervised learning, DeepFake detection, video action recognition, video understanding, defect detection, domain adaptation, and more
First author of the company’s first paper
Highly involved in future planning of company roadmap, writing solution proposals to customers, tutoring junior researchers, interviewing candidates
Applied Scientist
Amazon Lab126
01.2018 - 01.2019
Deep Learning and Computer Vision research for future Alexa devices
Generative and recommendation models
Researched and deployed Amazon-wide SOTA Semantic Segmentation and Pose Estimation models
R&D Algorithm Engineer
Vitalerter
01.2017 - 01.2018
End-to-end design and implementation of vital signs estimation algorithms using biomedical sensors for cutting-edge patient healthcare
Full algorithmic design from matlab prototyping to C implementation
Improved existing solutions using Deep Learning & CNNs
R&D Algorithm Engineer
ELTA
01.2016 - 01.2017
Moving Radar targets classification using Neural Networks
Signal processing, estimation and statistical analysis of Radar signals
Collaborative team member with great interpersonal skills
In my spare time I love to bake cakes and do Yoga
Army Service
Tank Commander, The 401st Brigade, 01/01/10, 12/31/13, Staff sergeant, Responsible for profession and command quality, Commanded teams operating Mark IV battle tanks
Research
Self-Supervised Dynamic Networks for Covariate Shift Robustness, First author
Bidirectional One-shot Unsupervised Domain Mapping, ICCV 2019, First author, Prof. Lior Wolf
Classification of Ground Moving Radar Targets with RBF Neural Networks, ICCPR 2018, Equal contribution
Methods for Using Two-Dimensional Representation of Time Series Data for Biomedical Deep Learning Analysis, Wrote patent