CV

Education

M.Sc. in Computer Science (under Prof. Assaf Schuster), Technion, current
B.Sc. in Computer Science in the AI track, Technion, grad. 2023. Took advanced courses in deep learning, computer vision, NLP, data processing, computer architecture for ML

Project in Deep Learning - Implemented novel deep learning methods and improved an article on patch adversarial attacks for neural networks in visual odometry, guided by VISTA Lab at Technion’s CS faculty.
Datathlon in Biomedical Engineering – With a team of 5, developed a data pipeline and deployed classical ML models to predict patient outcomes and ICU stay period of COVID ICU patients at Rambam. Presented the results in front of medical and faculty staff.
COVID-19 Prediction Model – Created, trained, and tested a regression model for predicting a COVID-19 variant type, using patients’ information. Won 4th place out of 47 teams at the Intro to ML course’s mini-project competition.

June 2022 - June 2023: Habana Labs, an Intel Company, Software Engineer Student
- Developed features to a system test framework used by System department teams.
- Implemented component behaviors to be used in future flagship products.
October 2021 - June 2022: GE Healthcare, Software Engineer Student
- Implemented a data pipeline and operation analysis engine on data streamed to AWS.
- Delivered results to program managers to detect trends in KPIs across multiple products.

June 2021 - May 2022: Chairperson of the CS Student Committee, Technion
- Volunteered to lead the student committee consisting of 90 students.
- Direct communication with faculty and day-to-day operations and event organization.

Hands-on experience with Deep Learning frameworks, mainly PyTorch, for building computer vision applications.
Hands-on data pipeline engineering for NLP and data processing applications.
I daily drive a terminal and am proeficient in zsh/bash
Progamming Languages: Python, C++, CUDA, SQL