I'm a Machine Learning Scientist with a BSc in Physics and a deep love for automation, financial markets, and open-source software. I thrive on building tools that reduce friction and eliminate repetitive tasks.
Currently, I'm pursuing an MSc in Computational Neuroscience at the University of Calgary. My thesis focuses on Reservoir Computing using FORCE training—I'll be releasing the codebase soon.
In my spare time, I like exploring APIs, Network Protocols, and DevOps Tools.
Fun Fact: I'm obssessed with efficiency and thrive on building efficient and optimized tools.
- Languages: Python, C/C++, JavaScript, LaTeX
- Tools: Git, Docker, CI/CD, NeoVim, Tmux, VSCode
- OS: Arch Linux (7+ years)
- 💻 My dotfiles power my minimal, productive Linux workflow.
- 📊 I love building intelligent trading tools and automation systems for financial markets.
I'm always happy to chat about ML, automation, FOSS, or finance. Find me on Twitter or LinkedIn.
Thanks for visiting!