CV

Education

Ph.D in CS, focus on Deep learning with imperfect data, Technion, 2026 (expected)
M.S. in EE, focus on efficient neural networks, Technion, 2023
B.S. in EE, Computer engineering, Technion, 2021

2022 - now: Head TA for deep learning
2022-2023: TA for algorithms and aplications in computer vision
Summer 2023: Research intern at Bosch Center of AI
- Focus: Semi-supervised instance segmentation for robotic grasping
2021: Algorithm engineer at GE Healthcare
- Developed models for cardiac ultrasound real time aplications
2019-2020: Firmwere verification engineer (student) - Nvidia
- design and verification in the PCIe group
2017-2019: Chip design (student) - Intel

Curiosity.
Coding: proficient in Python, mostly in the context of deep learning (Torch, Timm, Transformers, etc).
- prior knowledge in C++, Javascript, tcl, erlang, MATLAB.
Problem solving with a “can do” attitude