Paul Chauvin
Solving problems, one commit at a time
I’m a developer who loves solving problems and building innovative solutions that can make a real difference for people.
Let's build something amazing together.
About
Hi, I'm Paul.
I’m from a small town in Alsace, France 🥨, where I’ve always loved exploring and trying out new things. Curiosity led me to Paris to study math and ML at Dauphine and ENS Paris-Saclay.I'm an AI developer with a passion for using technology to solve real-world problems. I also love exploring new places and experiencing different cultures (about 40 countries visited so far).
When I’m not working or off exploring, you’ll probably find me on a basketball court. I’ve been playing since I was a kid and even competed in the French championships growing up. The game taught me a lot; teamwork, persistence, and putting in the work, lessons I still carry with me today.I’m always curious and love learning; it keeps life interesting and full of possibilities.
Whether it’s working on a new start-up, learning a new programming language, exploring a different culture, or taking on an exciting adventure, I’m up for it.Drop me a line if you want to chat about startups, AI, travel, or challenge me to a game of one-on-one!
Experiences
Experiences:- Freelance Machine Learning Engineer (Oct 2023 - Present): Collaborated with various startups on AI and ML projects, driving innovation and growth through data-driven solutions.- Co-Founded Mailead.io (March 2023-September 2023): Built a cold outreach platform from scratch, automating workflows and cutting costs, reaching $400k in revenue in 4 months. Acquired by TaskMagic.- Machine Learning Engineer, Aqemia (Sep 2022 - Sep 2023): Spearheaded the scaling of the company's drug screening pipeline resulting in significant efficiency gains.- Entrepreneur First (2022): Joined EF PA8, iterating on various startup ideas with potential co-founders.- Research Engineer, Yokai.ai (2022): Created a novel Generative Adversarial Network (GAN) for face generation and modification.- Data Science Intern, Addactis (2020): Improved algorithms for fraud detection using data science techniques.- Data Science Intern, Snips, acquired by Sonos (Summer 2019)
Side Projects
- Founder, TrackEats: a web app that allows you to monitor and analyze your eating habits to optimize your nutrition and achieve your health goals.- Founder, Inbox-Zen: an open source web app to help busy professionals minimize time spent on email.- Founder, Home-Imagine : a web app to re-design your interior in seconds with AI.- Founder, Facememe Discontinuited: Built a viral web app (10k users first month) that transforms users into famous memes.- Built this multiplayer game to create collaborative art with pixels.- Made this minimalist open-source chrome extension to block distracting websites during work hours- Master's in Artificial Intelligence (MVA), ENS Paris-Saclay: Completed projects in Deep Learning, Computer Vision and NLP, developing theoretical and practical experience in various AI technologies.
Technical Expertise
Proficient in the following technologies and tools:
Langages and Libraries
Python
Machine learning libraries: Pytorch, Numpy, Scikit-learn, SciPy, Transformers
Computer Vision: OpenCV, Pillow,
Data Analytics: Pandas, Polars, Seaborn, Plotly, Matplotlib
Backend and APIs: FastAPI, Flask, Celery
Web Scraping: Selenium, Scrapy, requests + Beautiful SoupFront-end:
HTML, CSS, Javascript, Svelte
PAAS
Expertise in AWS Services: Lambda - API Gateway - ECR - EC2 - S3 - Cloudwatch - Batch - RDS - SQS - SageMaker
No-Code Frontend Development: Bubble.io
Others
Databases: PostgreSQL, Redis
ML platforms: MLflow, Weight and Biases, HuggingFace
Containerization: Docker
CI/CD: Github Actions, Pytest
OS: Linux bash
Thank you
I'll get back to you as soon as I can 😊