Marouan T K

Head of AI | LLM & VLM Engineering

Salaire / Taux journalier

Paris, France

Freelance

Peut venir sur site

Expertises

Deep LearningLLMs / Large language modelsNLP / Natural Language ProcessingMachine LearningData Analysis

Langues

Français (Maternelle)Anglais (Maternelle)Espagnol (Maternelle)Chinois

À propos

Introduction

Head of AI with 10+ years leading large-scale LLM/VLM engineering and intelligent automation across EMEA. Expert in delivering production-ready Generative AI solutions, MLOps pipelines, and strategic digital transformation for enterprise clients. Specialized in end-to-end ML implementations from Computer Vision to NLP, driving measurable business impact through cutting-edge AI innovation.

Liens

Expérience de travail

Head of Artificial Intelligence & Education

Stealth AI Startup

mars 2022 - Présent

4 ans 8 mois

Paris, France

– Redefining AI & Cybersecurity education for the next generation of innovators

Senior Machine Learning Engineer

Freelance

févr. 2017 - Présent

9 ans 9 mois

Paris, France

– Freelance AI consultant delivering end-to-end ML solutions with expertise in Generative AI, LLMs, VLMs, NLP, and Computer Vision – Focus on MLOps, production-ready deployments, and strategic AI consulting for digital transformation

Senior AI Scientist - Computer Vision

VINCI Autoroutes

févr. 2018 - avr. 2022

4 ans 3 mois

– Development of deep learning based applications for highway infrastructures.

Lead ML Engineer - NLP

Senspotr

juil. 2016 - oct. 2017

1 an 4 mois

Paris, France

Data Scientist

NUMA

févr. 2017 - août 2017

7 mois

Paris, France

Technical Business Developer

The Family

mars 2016 - sept. 2016

7 mois

– Growth hacking for the Lion Executive program, a training program for large corporate groups.

Data Scientist

Columbia University in the City of New York

mai 2014 - oct. 2014

6 mois

New York, État de New York, États-Unis

– Worked at the Center for Computational Learning Systems in the field of speech recognition, machine learning, and reactive point processes. – Researched ways to predict hot spots of keyword detections in audio conversations using a non-homogeneous Poisson process, based on the work by Ertekin, Cynthia Rudin, and Tyler McCormick on Predicting Power Failures with Reactive Point Processes (RPP). – Hypothesized that conversations have similar exciting properties to Manhattan's manholes, sampling conversations per language over time to identify serious 'manhole events' (correct keyword detections).


Formation

Join Lion

Data & Growth Hacking

2016 - 2016

5 mois

EIDD Ecole d'Ingénieur Denis Diderot

Diplôme d'Ingénieur, informatique

2012 - 2015

3 ans 1 mois

Columbia University in the City of New York

Data Science

2013 - 2014

1 an 1 mois


Licences et certifications

Getting and cleaning data

Délivré le : –

Exploratory Data Analysis

Délivré le : –

The Data Scientist's Toolbox

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R Programming

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