Eitamar Saraf
Deep Learning Researcher at Leo AI- Claim this Profile
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Bio
Experience
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Leo AI
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United Kingdom
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Software Development
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1 - 100 Employee
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Deep Learning Researcher
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May 2023 - Present
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Microsoft
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United States
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Software Development
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200 - 300 Employee
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NLP Researcher
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Oct 2021 - Apr 2023
* Developed, trained, and deployed machine learning models for extracting captions from search items. The new model improved Office 365 search by reducing the number of unsuccessful clicks by 5%. * Developed and trained advanced deep learning models (BERT based) for extractive document summarization, utilizing technologies, such as FPGA, to overcome latency issues at inference. * Utilized GPT-3.5 to create datasets using advanced methods such as batch prompting and multi-task prompting to reduce the number of API calls and implemented a chain-of-thoughts approach to improve model results. Show less
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Israel Defense Forces
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Israel
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Armed Forces
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700 & Above Employee
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Computer Vision Research Engineer
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Apr 2020 - Sep 2021
* Developed and implemented a CNN-based deep learning object detector, achieving high accuracy through training and evaluation on multiple datasets utilizing advanced temporal and spatial features.* Conducted research on image processing techniques to improve data robustness and accuracy, implemented multiprocessing pipelines to optimize performance and allowed for real-time operation.* Implemented a complete CI and CD automation process, including automated testing, to maintain system quality during the entire development cycle. Show less
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Full Stack Engineer
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May 2019 - Apr 2020
* Developed and deployed a command and control web application for managing and coordinating multiple autonomous agents, utilizing distributed systems and gRPC to integrate new agents easily.* Proficient in utilizing technologies such as React, Node.js, C++ for end-to-end development.
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Product Manager
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Oct 2015 - May 2019
* Managed the development of end products for the infantry corps. These products included Android apps and propriety hardware.* Characterized and defined the requirements for features at various stages of product development, emphasizing MVP and TTM.
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Education
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Bar-Ilan University
Master of Science - MS, Computer Science -
Ariel University
Bachelor’s Degree, Computer Science and Mathematics