✨ About Me
Grounded in a strong academic background in computer science, I am a data scientist specializing in the intersection of machine learning and operations. My expertise lies in building, deploying, and maintaining scalable ML systems, with a particular focus on recent advancements in Agentic and Generative AI. I leverage my skills in DevOps, Cloud, and MLOps to tackle complex, real-world problems and deliver innovative solutions.
When I’m not working, I’m exploring Paris 🥐
📚 Education
Machine learning, Intelligence artificielle et Données (ex. DAC)
Sorbonne University
September 2024 - September 2025
Paris, France
Comprehensive master’s program in Artificial Intelligence, Machine Learning, and Data Science, with foundational knowledge in data utilization, knowledge production, and intelligent service implementation. Specializations include Databases & Information Retrieval, Data Mining & Machine Learning, Computational Intelligence, and advanced profiles in Learning, Databases, and Artificial Intelligence.
Relevant Courses:
Advanced Deep Learning, Graph Data Challenges, Large Language Models, Large Scale Data Analysis, Reinforcement Learning, Scalable AI and Cloud Engineering, Explainable AI.
Artificial Intelligence and Data Science
Higher School of Computer Science (ESI-SBA)
September 2019 - September 2024
🏢 Experience
AI Engineer
Lincoln France (Alten - Internship)
Feb 2025 - August 2025 (7 months)
Sèvres, Île-de-France, France
AI Research Intern
Polytechnic Institute of Paris (Telecom SudPari)
March 2024 - September 2024 (7 months)
Palaiseau, Île-de-France, France
Machine Learning Engineer
ICT-Towers (Internship)
September 2022 - December 2022 (4 months)
🏆 Certifications
Course 1: Learning Docker
Docker - August, 2025
Course 2: Docker: Your First Project
Docker - August, 2025
Course 3: Learning Docker Compose
Docker - August, 2025
Course 1: Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI - April, 2023
Course 2: Convolutional Neural Networks in TensorFlow
DeepLearning.AI - April, 2023
Course 3: Natural Language Processing in TensorFlow
DeepLearning.AI - July, 2023
Course 4: Sequences, Time Series and Prediction
DeepLearning.AI - August, 2023
Course 1: Neural Networks and Deep Learning
DeepLearning.AI - October, 2022
Course 2: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AI - November, 2022
Course 3: Structuring Machine Learning Projects
DeepLearning.AI - November, 2022
Course 4: Convolutional Neural Networks
DeepLearning.AI - December, 2022
Course 5: Sequence Models
DeepLearning.AI - March, 2023
Course 1: Supervised Machine Learning: Regression and Classification
Stanford University - August, 2022
Course 2: Advanced Learning Algorithms
Stanford University - August, 2022
Course 3: Unsupervised Learning, Recommenders, Reinforcement Learning
Stanford University - August, 2022
⚙ Skills
Python
SQL
C
C++
Java
Dart
TensorFlow
Hugging Face
Scikit-Learn
Keras
Numpy
YOLO
LangChain
LangGraph
Transformers
LlamaIndex
vLLM
LiteLLM
Pydantic
Chainlit
Weaviate
Chroma
OpenSearch
Matplotlib
Seaborn
Plotly
Tableau
Power BI
FastAPI
Flask
Django
Streamlit
Gradio
Dash
Nginx
Linux
Git
Docker
Docker Compose
Kubernetes
HELM
Grafana
Prometheus
Airflow
DVC
ClearML
MLflow
Weight & Biases
GitHub Actions
GitLab CI|CD
Bitbucket
MongoDB
PostgreSQL
MySQL
SQLite
Oracle
Redis
Cassandra
AWS
GCP
Azure
Flutter
Jira
Confluence
DSPy
Dataiku
Spark
Kubeflow
Vertex AI🌐 Languages
French
Full Professional Proficiency
English
Full Professional Proficiency