Work Experience

• Deep Learning Researcher (Independent Contractor) · Apple, Video Engineering Group (May 2026 - October 2026)

  Developed deep learning models for physiological estimation from video: modeling instantaneous VO₂ and related metabolic dynamics from 3D human pose, including step-test protocols.

• Graduate Researcher & Teaching Assistant · Technion (April 2021 - June 2026)

  Mentored several MSc students, providing day-to-day guidance on research, implementation, and experimental evaluation. Project advisor for deep learning, vision, medical data, communication data, and LLM projects. Collaborated with the Israel Olympic Committee and the IQFoil national team on ML-driven analysis of training data toward Paris 2024. Head TA for Data Structures (234218) across 6 semesters; TA for Computer Networks (236334).

• Research Engineer Intern · Huawei Research Labs (July 2023 - February 2024)

  System and Network Architecture team. Developed a deep-reinforcement-learning approach for predicting traffic demand matrices in data-center networks, enabling dynamic ToR switch port reconfiguration using optical circuit switching.

• Research Engineer Intern · Accenture Research Labs (July 2022 - November 2022)

  Cyber Security Research team. Built NLP models using CyBERT and BERT for cybersecurity knowledge-graph construction, linking CAPEC attack patterns to the SMESH knowledge graph, and developed ML severity scoring for CWE-product-vendor triples.

• Research Engineer Intern · Yahoo Research (July 2021 - November 2021)

  Scalables team. Co-developed Robusta, a hybrid PMem-DRAM cache achieving DRAM-like latency with high capacity and a warm start on recovery from failures.

• Software Engineering Research Intern · IBM Research Labs (October 2019 - March 2021)

  Hybrid Cloud Quality Technologies department. Developed data-science solutions for parallel job-execution optimization in cloud infrastructure and automatic test-code generation.

Education

• MSc + PhD in Computer Science, Direct Track · Technion (April 2021 - June 2026)

  Advisors: Prof. Alex Bronstein and Prof. Reuven Cohen. Focus: deep learning.

• BSc in Computer Engineering · Technion (2016 - 2021)

  Combined Computer Science and Electrical Engineering program. Summa cum laude (Winter 2020).

Awards & Grants

• MAFAT, Israel National Research Directorate (2026): co-author of the proposal and assistant investigator on “Adaptive Video Transmission over a Drone Ad-hoc Network using Reinforcement Learning” (PI: Prof. Reuven Cohen, 1-year grant).
• VATAT Prize for student research in data science at Tech.AI (2024).
• Faculty Merit Excellence for Research (December 2023).
• Ministry of Science Scholarship for graduate students serving in military reserves (2024).
• Technion Sports Excellence Scholarship for athletic contributions.

Academic Service

• Reviewer for ACM ICMI, IEEE conferences and journals, and other venues.
• Mentor to several MSc students; project advisor for deep learning, vision, medical, network and LLM projects at the Technion.

Personal

• Major (Res.), Israel Defense Forces, 55th Paratroopers Brigade.
• Long-distance running athlete and coach; marathon PB 2:43 (Valencia).
• Languages: Hebrew (native), English (fluent).