AI-Powered Email Assistant for CMA CGM
We built CMA CGM's AI-powered email assistant that generates recommended replies for over 100k weekly customer emails.
Machine learning + optimization
Maxime Wolf
Data Scientist at Waymo
My work focuses on building and deploying machine learning and optimization models.
CurrentWaymo
EducationMIT
PreviouslyPayPal
ResearchMIT ORC
Selected work
Technical projects.
All projects 
MIT Capstone Project
Worked with Comcast on real-time churn prediction from call transcripts using NLP & LLMs
Sherlock Picasso
Marketing made easy. We built a product to help SMBs attract customers on social media.
Optimizing Bus Stops Selection
We built optimization models to optimize the selection of bus stops for the MBTA (Massachusetts Bay Transportation Authority) by balancing profit maximization and efficiency of the bus network.
About
At the intersection of optimization and machine learning.
I studied Data Science at MIT, where I worked on projects at the intersection of optimization and machine learning. Previously, I collaborated with the MIT Operations Research Center and IBM, contributing to research in the same area.
I have a strong passion for AI, especially natural language processing, and enjoy participating in hackathons and personal projects.
Explore the work on GitHubLatest writing
Technical notes and explanations.
All writingModel Compression: Make Your Machine Learning Models Lighter and Faster | Towards Data Science
A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks more efficient and easier to deploy.
Structured Matrices in Deep Learning
How mathematical structure can make neural-network layers smaller and faster, from Toeplitz matrices to Butterfly and Monarch layers.
LLaDA Explained: How Diffusion Could Revolutionize Language Models
Contact
Ideas, questions, or collaboration?
Feel free to reach out.
maximew@alum.mit.edu