Nathan HABIB

AI Researcher

Paris, Île-de-France, France1 yr 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in LLM evaluation and benchmarking.
Strong background in AI and machine learning.
Co-founder of a startup focused on data management.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on AI applications in Healthcare and Data Management.

Contact

Skills

Core Skills

Machine LearningAiEntrepreneurshipData ManagementResearch

Other Skills

GitHubPythonLLM evaluationbenchmarkingGitSQLAgile MethodsApache Spark StreamingApache SparkApache KafkaScalaLinuxC++CJava

About

ML Engineer at Hugging Face, specializing in LLM evaluation and benchmarking. I dig deep into model performance, bias, and reliability—making sure AI delivers on its promises.

Experience

1 yr 11 mos

Total Experience

11 mos

Average Tenure

Current Experience

Hugging face

2 roles

Machine Learning Engineer

Sep 2023 – Present · 2 yrs 7 mos · Ville de Paris, Île-de-France, France

GitHubPythonLLM evaluationbenchmarkingMachine LearningAI

Intern

Feb 2023 – Aug 2023 · 6 mos · Ville de Paris, Île-de-France, France

Neostate

Co-Founder

May 2022 – Sep 2023 · 1 yr 4 mos · Ville de Paris, Île-de-France, France

GitGitHubSQLEntrepreneurshipData Management

G. ventures

VC Scout

Apr 2022 – Sep 2023 · 1 yr 5 mos · Ville de Paris, Île-de-France, France

France 1st Student VC Fund 🇨🇵
We back France's most ambitious young Founders.
(students and young graduates <2 years)
Our Founders get up to 200k euros in funding.
(equity + non dillutive)
➡️ Learn more about GV : http://gventures.co/
Want to get involved with G. Ventures?
Whether you’re a founder, investor, aspiring VC, or looking for a role at a startup, we’ve got you covered.
➡️ Check out our "opportunities" page on our website

Norbert health

Machin Learning Intern

Sep 2021 – Jan 2022 · 4 mos · Ville de Paris, Île-de-France, France

Internship in the algorithmic team, the goal was to make possible the contacless tracking of the blood pressure.
To work toward this goal, I had to put in place a pipeline going from quality assesment to data aquisition and the development of the needed algortihms. I also had to use and in some cases optimize the code already in place.

GitAIPythonMachine Learning

Lrde (laboratoire de recherche et développement de l'epita)

2 roles

Research student

Jan 2021 – Jul 2021 · 6 mos · Ville de Paris, Île-de-France, France

Research in Quantum Computing applied to machine learning.

GitGitHubAIPythonResearch

Research Intern

Jun 2020 – Aug 2020 · 2 mos · City of Paris, Île-de-France, France

Research in AI for medical image segmentation.
Summer internship during which i had the opportunity to use TensorFlow with the goal to segment out lesions visible in lung's CT-scans.
The goal was to segment out and categorize those lesions.

GitGitHubAIPythonResearch