Hi, I'm Jonathan.
Programmer, chess player & curious mind.
Research Intern at Retail Realm and McGill Computer Science graduate specializing in Reinforcement Learning, Machine Learning algorithms, and intelligent optimization for Mining and complex systems.
Selected Works
A showcase of recent software engineering projects, web applications, and technical experiments.
Modular RL (Functional Core for PyTorch)
High-performance researcher-centric Reinforcement Learning library for PyTorch built on the Functional Core, Imperative Shell design pattern (JAX/RLax style architecture).
ALDO Occasion-Aware Outfit Builder
Production-ready embeddable React agent widget that interacts with users to generate occasion-aware outfits with head-to-toe visualization, item swapping, and editorial descriptions.
PantryPilot (KitchenAssist AI)
Smart household pantry management & meal planning platform featuring Vision AI for receipt/fridge item extraction, YouTube recipe parsing, grocery store inventory sync, and macro tracking.
Want to see more projects?
Explore the full portfolio archive including open-source libraries, machine learning experiments, and utilities.
View Full PortfolioReinforcement Learning & Mining Optimization
Combining a Computer Science degree from McGill University with advanced Reinforcement Learning, Machine Learning algorithms, and Mining operational optimization.
McGill Computer Science
Bachelor of Science in Computer Science from McGill University, focusing on theoretical algorithms, data structures, and computational optimization.
Reinforcement Learning & ML
Researching deep reinforcement learning (PyTorch, PettingZoo, Gym), multi-agent policies, and machine learning models for complex decision environments.
Mining & Industrial RL
Applying RL policies and intelligent dispatch algorithms to solve real-world mining problems like Long-Haul Truck (LHT) switch optimization.
Let's Work Together
Have a project in mind, a question, or a software engineering opportunity? Send a message below.
Send a Message
Fill out the form below or reach out directly.
Direct Email: jonathan.lamontagne.kratz@gmail.com
Phone: +1 (613) 697-0240