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Marc Dinh Email & Phone Number

ML/Deep Learning Engineer at Naimrod
Location: Paris, Île-de-France, France 6 work roles 4 schools
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Current company
Role
ML/Deep Learning Engineer
Location
Paris, Île-de-France, France

Who is Marc Dinh? Overview

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Marc Dinh is listed as ML/Deep Learning Engineer at Naimrod, based in Paris, Île-de-France, France. AeroLeads shows a matched LinkedIn profile for Marc Dinh.

Marc Dinh previously worked as co-founder and CTO at Naimrod and Porteur de projet at Inria Startup Studio. Marc Dinh holds Master'S Degree, Computer Science from University Of Nevada-Las Vegas.

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Email format at Naimrod

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Naimrod

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Profile bio

About Marc Dinh

As Co-founder and CTO of Naimrod, I'm building an EdTech platform that helps learners master English through authentic content like movies, books, and TV series. My multilingual background taught me how language can unlock opportunities, transforming my own journey by enabling study and work in the United States.Leveraging Machine Learning and Natural Language Understanding, we develop innovative tools that track learner progress and extract pedagogical insights. Our technology, developed in collaboration with Inria (the French national research institute), aims to make English learning more accessible and effective.Currently preparing to launch an authoring tool that will empower English teachers with advanced, context-driven resources. Let's connect if you're passionate about transforming education through AI and NLP!www.naimrod.com

Current workplace

Marc Dinh's current company

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Naimrod
Naimrod
ML/Deep Learning Engineer
AeroLeads page
6 roles

Marc Dinh work experience

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Co-Founder And Cto

Current
Nov 2021 - Present

Porteur De Projet

Bordeaux Grenoble Lille Nancy Paris Rennes Saclay Sophia Lyon, FR

co porteur de projet Naimrod

Feb 2021 - Oct 2021

Deep Learning Engineer

Rtis

Performed a benchmark analysis curated to aerial videos on state-of the art deep learned trackers. Identified issues and challenges for aerial tracking. Designed and developed a deep-learned tracker leveraging Discriminative Filter, one-shot image classification andSiamese Convolutional Networks. Project supported by Toyon Research Corporation andthe US.

Oct 2017 - Dec 2018

Data Analyst

Transportation Research Center

Development of a capacity measurement tool for HPMS in PL/SQL (Highway Performance Measure System)Development of Data warehousing using Oracle ODI, Oracle RPD and Oracle OBIEE for a traffic safety module.Development of a model for traffic safety using R and Oracle R.

Sep 2014 - Dec 2015

Research Internship In Predictive Analysis

Las Vegas, NV, US

Creation of predictive models for NDOT aiming to forecast the traffic volume for the next 30 years on Las Vegas' network, estimate the number of accidents, and detect dangerous zones where accidents may happen.

Apr 2014 - Jul 2014

Tech Support

Paris, Paris, FR

Tech support for the medical staff:Hardware and software installation; Hotline; Website development and maintenance:

Jul 2011 - Aug 2011
4 education records

Marc Dinh education

Master'S Degree, Computer Science

University Of Nevada-Las Vegas

Master'S Degree, Informatique

Efrei - Grande École Du Numérique

Bachelor'S Degree, Mathematics And Computer Science

Université Paris-Est Marne-La-Vallée

Computer Science

San José State University
FAQ

Frequently asked questions about Marc Dinh

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What company does Marc Dinh work for?

Marc Dinh works for Naimrod.

What is Marc Dinh's role at Naimrod?

Marc Dinh is listed as ML/Deep Learning Engineer at Naimrod.

Where is Marc Dinh based?

Marc Dinh is based in Paris, Île-de-France, France while working with Naimrod.

What companies has Marc Dinh worked for?

Marc Dinh has worked for Naimrod, Inria Startup Studio, Rtis, Transportation Research Center, and University Of Nevada Las Vegas.

How can I contact Marc Dinh?

You can use AeroLeads to view verified contact signals for Marc Dinh at Naimrod, including work email, phone, and LinkedIn data when available.

What schools did Marc Dinh attend?

Marc Dinh holds Master'S Degree, Computer Science from University Of Nevada-Las Vegas.

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