Kaden Gruizenga
About Me
I'm a data science student at the University of Michigan with minors in Mathematics and Economics. My work focuses on the intersection of quantitative finance, machine learning, and robust system design. I enjoy building tools that provide tangible value and automate complex workflows, always striving for solutions that are both powerful and interpretable.
My Values
Continuous Learning, Analytical Rigor, Impactful Innovation, Collaborative Problem Solving, and Principled Engineering.
Interests & Passions
Exploring novel ML architectures, algorithmic trading strategies, open-source contributions, behavioral economics, and computational mathematics. Outside of tech, I enjoy Formula 1 and weightlifting.
Career Goals
To contribute to cutting-edge quantitative research and develop scalable AI systems that address complex financial market challenges. Aspiring to lead teams that push the boundaries of data-driven decision-making.
My Skills
Languages
- Python
- C++
- JavaScript
- TypeScript
- R
Frontend & Styling
- React
- Next.js
- Vite
- Tailwind CSS
- Emotion
- HTML
- CSS
ML & Big Data
- Pandas
- NumPy
- Scikit-learn
- PyTorch
- Tensorflow
- PySpark
Back-End & Infrastructure
- Supabase
- AWS (S3, Lambda, Route 53, IAM)
- Vercel
- Cloudflare
- Docker
Developer Tools & Package Management
- Git & GitHub
- SSH
- VS Code
- Jupyter Notebooks
- Makefile
- pnpm
- npm
- uv
- conda
Terminal & Automation
- Bash
- Zsh
- Linux CLI
- tmux
Debugging & Performance
- Valgrind (incl. Massif)
- LLDB
Formatting & Linting
- clang-format
- black
- prettier
- eslint
Design & Documentation
- Figma
- Inkscape
- Photoshop (basic)
- Markdown
- LaTeX
Operating Systems
- macOS
- Windows 11
Key Projects
ML-HFT
Predictive models for high-frequency trading using order book microstructure signals. Extracted alpha from spread crossing, quote direction, and imbalance features.
aiTherapist
Custom UI for an LLM-powered therapeutic chat system. Features frosted-glass UX, prompt templating, and a GPT-4 backend with self-disclosure modeling.
Lecture Summarizer
Gemini-powered summarizer for academic lecture texts. Implements an extractive and abstractive hybrid approach. Used in history and CS course workflows.
PyTokenCounter
CLI tool to track token usage across prompts and outputs for various LLMs. Built for debugging cost/performance tradeoffs.
KneelSmart Pro Site
The official KneelSmart Pro website features a clean, modern design with smooth navigation, responsive layouts, and a focus on showcasing the product’s ergonomic benefits.
quantprep.org
QuantPrep.org is a focused prep platform that sharpens your quant interview skills through curated quizzes and high-speed math drills.
Résumé
Interested in my detailed professional background? You can view or download my resume.