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Nadav Potasman Email & Phone Number

Computer Vision and AI Algorithm Developer at Applied Materials - Israel
Location: South District, Israel, Israel 5 work roles 2 schools
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Current company
Role
Computer Vision and AI Algorithm Developer
Location
South District, Israel, Israel
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Who is Nadav Potasman? Overview

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Nadav Potasman is listed as Computer Vision and AI Algorithm Developer at Applied Materials - Israel, a company with 358 employees, based in South District, Israel, Israel. AeroLeads shows a matched LinkedIn profile for Nadav Potasman.

Nadav Potasman previously worked as Algorithm Developer at Applied Materials - Israel and AI & Computer Vision Algorithms Developer at Elbit Systems Ltd. Nadav Potasman holds Master Of Science - Ms.C, Electrical And Electronics Engineering - Cv & Ai Oriented, 91 from Tel Aviv University.

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Applied Materials - Israel

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About Nadav Potasman

Experienced Algorithm Engineer in fields of Signal Processing, Computer Vision & AI.

Listed skills include Matlab, C++, Digital Signal Processors, Image Processing, and 21 others.

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Applied Materials - Israel
Applied Materials - Israel
Computer Vision and AI Algorithm Developer
South District, Israel
Employees
358
AeroLeads page
5 roles

Nadav Potasman work experience

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Algorithm Developer

Current

Central, Israel

Continuous working on improving the AI solution for SEM automatic defect classification. Literature reviews in fields of noisy labels handling, generative AI, HPO and additional fields of AI.Implementation of SOTA approaches to improve the algorithm performance.

Apr 2022 - Present

Algorithm Engineer

Southern, Israel

- Led algorithmic design and development for autonomous detection in Sonar system using Matlab- Developed proof-of-concept for high valued RADAR system- Main contributor to the divisions Sonar knowledge center- Improved accuracy of autonomous threat detection by 50% by adding new computer vision capability. Development done using Matlab, implementation.

Nov 2018 - Oct 2021

Signal Processing Engineer

Israel

- Developed statistical analysis system for the company’s systems using Matlab- Reduced 90% of system’s false alarms by adding Naïve-Bayes & SVM classifiers with kinematic, signal processing and image processing features using Matlab- led the development of estimation of Sonar statistical performance, which was sold as an extension to the company’s.

Apr 2016 - Nov 2018
Team & coworkers

Colleagues at Applied Materials - Israel

Other employees you can reach at appliedjobs.co.il. View company contacts for 358 employees →

2 education records

Nadav Potasman education

Master Of Science - Ms.C, Electrical And Electronics Engineering - Cv & Ai Oriented, 91

FAQ

Frequently asked questions about Nadav Potasman

Quick answers generated from the profile data available on this page.

What company does Nadav Potasman work for?

Nadav Potasman works for Applied Materials - Israel.

What is Nadav Potasman's role at Applied Materials - Israel?

Nadav Potasman is listed as Computer Vision and AI Algorithm Developer at Applied Materials - Israel.

Where is Nadav Potasman based?

Nadav Potasman is based in South District, Israel, Israel while working with Applied Materials - Israel.

What companies has Nadav Potasman worked for?

Nadav Potasman has worked for Applied Materials - Israel, Elbit Systems Ltd, Elta Systems Ltd, and Dsit Solutions Ltd.

Who are Nadav Potasman's colleagues at Applied Materials - Israel?

Nadav Potasman's colleagues at Applied Materials - Israel include Rachel Pintel, Linoy Goldkorn, Roman Khudainatov, David Ezra, and Yair Haham.

How can I contact Nadav Potasman?

You can use AeroLeads to view verified contact signals for Nadav Potasman at Applied Materials - Israel, including work email, phone, and LinkedIn data when available.

What schools did Nadav Potasman attend?

Nadav Potasman holds Master Of Science - Ms.C, Electrical And Electronics Engineering - Cv & Ai Oriented, 91 from Tel Aviv University.

What skills is Nadav Potasman known for?

Nadav Potasman is listed with skills including Matlab, C++, Digital Signal Processors, Image Processing, Algorithms, Machine Learning, Electrical Engineering, and Electronics.

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