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 traveling, you can find me on the basketball court. I've been playing since I was a kid, and I even competed at the French championship level in my youth. I believe this sport has that taught me a lot about teamwork, perseverance, and hard work, values that I try to carry over into my life.I believe in lifelong learning and I’m always eager to dive into new challenges and adventures.
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!
Projects and 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 $1K MRR. 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)Other Projects:- Creator, Inbox-Zen: Built a web app to help busy professionals minimize time spent on email.- Creator, Home-Imagine : Built a web app to re-design your interior in seconds with AI.- Creator, Facememe Discontinuited: Built a viral web app (10k users first month) that transforms users into famous memes.- 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, Framer
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 😊