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Research Engineer @ Google DeepMind Master's in Artificial Intelligence from École CentraleSupélec - Université Paris-Saclay, France.
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Google DeepMind
Data Scientist
June 27, 2026 – Present
MODA
August 7, 2024 – August 8, 2024
MODA (Multimodal Object Description Assistant) is an AI model that describes fashion items by combining visual and textual data. Powered by FashionCLIP and OPT, MODA provides descriptions of various fashion objects.
View ProjectImproveLLMStorytellingWithFineTuning
July 24, 2024 – July 31, 2024
This workshop, led by Lucas José for the Google Developer Student Clubs, focuses on developing practical skills in fine-tuning smaller Language Models (LLMs) to enhance their storytelling capabilities. The aim is to transfer knowledge from a larger model (Meta Llama 2-70B) to a smaller one (Microsoft Phi 1-1B), ensuring high-quality narrative.
View ProjectMangroveAI
June 21, 2024 – September 20, 2024
This repository contains the code and data for the paper titled "A Deep Learning-Based Approach for Mangrove Monitoring". The paper was accepted for presentation at the European Conference on Machine Learning (ECML), specifically at the Machine Learning for Earth Observation Workshop.
View ProjectUnveiling-Gene-Disease-Connections
March 26, 2024 – July 11, 2025
This study uses Graph Neural Networks (GNNs) to identify gene-disease associations from a large Knowledge Graph, enabling the prediction of novel links and providing insights into the genetic foundations of health conditions.
View ProjectScanipy
September 11, 2023 – December 30, 2023
Scanipy stands for "scan it with Python"—it's your smart Python library for scanning and parsing complex PDF files like books, reports, articles, and academic papers. Utilizing cutting-edge Deep Learning algorithms, Scanipy transforms your PDFs into a treasure trove of extractable information: tables, images, equations, and text.
View ProjectBCG-Gamma-Challenge
August 10, 2023 – August 20, 2023
We're proud to announce that our team secured the First Prize in the BCG GAMMA Challenge for Data Science and Consulting. This GitHub repository hosts all the code, models, and analytical techniques we employed during the competition.
View ProjectViT-for-Dark-Matter-Morphology
April 3, 2023 – July 28, 2023
Under the international Google Summer of Code program, the project "Transformers for Dark Matter Morphology with Strong Gravitational Lensing" was developed to improve the Machine Learning for Science pipeline using transformers, contributing to both astrophysics and machine learning research.
View ProjectProjeto-Ces-22-Front
May 10, 2021 – July 6, 2021
Projeto-Ces-22-Front — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and academic, showcasing a strong drive for learning and applying cutting-edge technologies. The focus on research-oriented and complex AI/ML problems aligns well with an innovative and technically deep culture. However, the lack of diverse project types (e.g., business-focused, team-based, production-oriented) and limited technology stack outside of Python/Jupyter Notebook might indicate a narrower exposure to different operational environments. The single listed experience at Google DeepMind is current and future-dated, providing no historical context for cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest initiative and a strong interest in advanced technical topics, but there is no information on collaboration, communication style, or problem-solving approach in a team setting.