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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
LLM-Culture
February 20, 2024 – Present
Code for the "Cultural evolution in populations of Large Language Models" paper
View Projectvivarium
March 25, 2023 – Present
Multi-agent simulator in Jax for research and teaching in AI & ALife
View Projectlamorel
February 1, 2023 – December 11, 2025
Lamorel is a Python library designed for RL practitioners eager to use Large Language Models (LLMs).
View ProjectIMGEP
March 26, 2019 – January 22, 2020
Open-source code for Intrinsically Motivated Goal Exploration Processes
View ProjectAPEX
June 23, 2017 – November 8, 2018
Autonomous exploration, active learning and human guidance with open-source Poppy humanoid robot platform and Explauto library
View ProjectNIPS2016
October 3, 2016 – May 22, 2018
Autonomous exploration, active learning and human guidance with open-source Poppy humanoid robot platform and Explauto library
View Projectpoppy-docs
September 3, 2015 – December 19, 2022
Documentation of the whole poppy platform
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-focused, indicating a strong drive for independent exploration and contribution to open-source. The diversity of technologies (Python, Rust, TypeScript, Java) and domains (LLMs, RL, decentralized apps) suggests adaptability. However, the lack of team-based or industry-specific projects makes it difficult to fully assess cultural fit for a collaborative, production-oriented Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest a strong focus on technical research and development.