I'm a Machine Learning Research Engineer at Hi! PARIS, an AI research center founded by Institut Polytechnique de Paris and HEC Paris in 2020. My educational background is in Applied Mathematics, Computer Science and Data Science.
I have experience conducting advanced projects 💻 in NLP, Computer Vision and Generative AI with researchers at Institut Polytechnique de Paris and HEC Paris, as well as contributing to popular open-source packages.
I've lead the creation of educational materials 📚 related to Python and Data Science for Hi! PARIS' data events, such as the Summer School, Data Bootcamp and Hackathon.
- POT: A popular Optimal Transport open-source Python library (over 2k stars). I contributed by implementing the low rank sinkhorn and low rank gromov-wasserstein, memory-efficient adaptations of the OT solvers.
- scikit-network: A popular Graph Machine Learning open-source Python library (over 600 stars). I contributed by developping KCenters, an adaptation of the K-means clustering algorithm to graphs using page rank to measure distances.
- LowRankDensity. A probability density estimation package developed by Hi! PARIS with researchers at l'ENSAE and Toulouse School of Economics. Main contributor to the package. I implemented the low-rank density estimators, resampling algorithms and 2D/3D density plots.
- Exploring Machine Learning Deployment from beginner to advance level 🚀 (Hi! PARIS Summer School 2024)
- A practical session on Machine Learning Deployment using Streamlit, AWS SageMaker and Docker
- Find course here
- Learn how to develop your own Python Package 📦 (Hi! PARIS Summer School 2023)
- A practical session on python package creation containing package build (setup.py, pyproject.toml), unit testing with pytest and pytest-cov, CI/CD with Github actions and publishing with PyPI
- Find course here
- Intermediate-level Data Science courses (Hi!ckathon #5)
- Courses in Data Cleaning/Feature Engineering, Machine Learning, Explainability and Deep Learning
- Find courses here
My email: [email protected] (or [email protected])
My linkedin: https://www.linkedin.com/in/laurene-david-/