Naama Kessler
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Naama Kessler Email & Phone Number

Computer Vision & Deep Learning Algorithm Developer at vHive at vHive
Location: Israel, Israel, Israel 5 work roles 2 schools
1 work email found @vhive.ai LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email n****@vhive.ai
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Current company
Role
Computer Vision & Deep Learning Algorithm Developer at vHive
Location
Israel, Israel, Israel
Company size

Who is Naama Kessler? Overview

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Quick answer

Naama Kessler is listed as Computer Vision & Deep Learning Algorithm Developer at vHive at vHive, a company with 21 employees, based in Israel, Israel, Israel. AeroLeads shows a work email signal at vhive.ai and a matched LinkedIn profile for Naama Kessler.

Naama Kessler previously worked as Computer Vision and Deep Learning Algorithm Developer at Vhive and Algorithm Engineer at Kama Research Ltd.. Naama Kessler holds Bsc from The Hebrew University Of Jerusalem.

Company email context

Email format at vHive

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{first}@vhive.ai
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Profile bio

About Naama Kessler

Algorithm developer, experienced in computer vision, image processing and deep-learning in the medical domain. Research enthusiastic and skilled at the entire development process, from problem formulation to design, implementation and publication. I love working on visual data and beautiful algorithms that are meant to make a difference.

Listed skills include Deep Neural Networks, Algorithms, C, Matlab, and 15 others.

Current workplace

Naama Kessler's current company

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vHive
Vhive
Computer Vision & Deep Learning Algorithm Developer at vHive
israel
Website
Employees
21
AeroLeads page
5 roles

Naama Kessler work experience

A career timeline built from the work history available for this profile.

Computer Vision And Deep Learning Algorithm Developer

Current

Herzliyya, Tel Aviv, Israel

Apr 2022 - Present

Algorithm Engineer

Developing a dielectric based intra-body 3D mapping and navigation system, designated to facilitate clinical operations for the treatment of structural heart diseases.

Jan 2021 - Feb 2022

Algorithm Developer

Researched deep-learning based approaches for efficient reconstruction of under-sampled rawultrasound signals to high quality images.Developed deep-learning based tools for automatic evaluation of clinical measures from fetal ultrasound scans.

Aug 2019 - Dec 2020

Research Assistant

Developed tools for automatic evaluation of clinical measures from fetal MRI, utilizing model-based computer vision and image processing approaches.

Sep 2018 - Jul 2019
Team & coworkers

Colleagues at vHive

Other employees you can reach at vhive.io. View company contacts for 21 employees →

2 education records

Naama Kessler education

FAQ

Frequently asked questions about Naama Kessler

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

What company does Naama Kessler work for?

Naama Kessler works for vHive.

What is Naama Kessler's role at vHive?

Naama Kessler is listed as Computer Vision & Deep Learning Algorithm Developer at vHive at vHive.

What is Naama Kessler's email address?

AeroLeads has found 1 work email signal at @vhive.ai for Naama Kessler at vHive.

Where is Naama Kessler based?

Naama Kessler is based in Israel, Israel, Israel while working with vHive.

What companies has Naama Kessler worked for?

Naama Kessler has worked for Vhive, Kama Research Ltd., Weizmann Institute Of Science, The Hebrew University Of Jerusalem, and Unit 9900 - Israeli Intelligence Corps.

Who are Naama Kessler's colleagues at vHive?

Naama Kessler's colleagues at vHive include Dnyaneshwari Bhor, Sakthi Saravanan, Marek Gołębiewski, Stephen Pletschke, and Ziad Al-Bayati.

How can I contact Naama Kessler?

You can use AeroLeads to view verified contact signals for Naama Kessler at vHive, including work email, phone, and LinkedIn data when available.

What schools did Naama Kessler attend?

Naama Kessler holds Bsc from The Hebrew University Of Jerusalem.

What skills is Naama Kessler known for?

Naama Kessler is listed with skills including Deep Neural Networks, Algorithms, C, Matlab, Keras, Tensorflow, Image Processing, and Image Reconstruction.

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