Théo BOYER

Deep Learning engineer

Professional experiences

Duon Labs

Deep Learning Engineer | Current position

Frontier forecasting model for crypto markets, built for traders and institutions

Apogée

A 100% open-source research initiative to unveil crypto-market forecasting scaling laws

SICK BIDE

A New Paradigm for representing complex distributions using binary representations.

Developed and optimized deep learning models for 3D anatomical landmark detection, enabling precise preoperative planning in orthopedic surgery and reducing processing time from several days to 15 minutes.

Developed deep learning models for automated end-of-life tire diagnostics, improving classification performance and enabling faster, more objective decision-making.

Kaggle

Data science competitions | February 2020 - April 2022
More on my Kaggle journey

ARC Prize is a $1,000,000+ public competition to beat and open source a solution to the ARC-AGI benchmark.

Happywhale

Develop an efficient model to automatically identify individual whales and dolphins from photos.

Reverse Game of Life

Predict the initial state of a Conway’s Game of Life grid given its final state after n steps.

Service offers

Deep learning code optimization

Optimizing deep learning codebases for performance, efficiency, and reliability.

Reduce memory usage and/or runtime of an algorithm
Identify bottlenecks and/or bugs
Custom triton kernel development

More informations

Any service requiring my skills

Applying my expertise in AI, automation, and high-performance computing.

Consulting & technical guidance
AI-driven problem-solving
Custom deep learning research

Contact me

About me

With almost 10 years of deep engagement in artificial intelligence, I am passionate about pushing the boundaries of AI research and development. My expertise lies in Deep Learning, where I actively contribute through both professional and personal projects.

While software engineering is an integral part of my skill set, my primary focus remains on advancing AI rather than conventional development roles.

Curious by nature, I thrive on exploring new challenges and uncovering insights that challenge conventional wisdom. My current work aims to unveil crypto market scaling laws, an ambitious initiative that bridges deep learning principles with market dynamics.

I am always open to meaningful collaborations, don't hesitate to connect !