A creative engineer who builds playful, production-ready tools. I focus on data-driven products, automation, and delightful developer experiences. This profile README uses placeholders — replace images, links, and text where indicated.
I build practical ML and automation projects with a creative twist. I enjoy turning spreadsheets into systems and prototypes into tools people actually use.
- Location: PLACEHOLDER
- Pronouns: they/them
- Current focus: Improving the SheetOps workflow & prototyping sports analytics models
- Languages: TypeScript, Python, SQL
- Frameworks & Tools: React, Vite, Node.js, scikit-learn, TensorFlow, PyTorch
- DevOps & infra: Docker, GitHub Actions, Vercel, Netlify
- Other: Data wrangling, feature engineering, model evaluation, automation with spreadsheets
A machine-learning pipeline for player/performance prediction and scouting signals. Includes data ingestion, feature engineering from event data, model training, and a lightweight dashboard demo.
Repo: https://github.com/Toptea444/football-ml (placeholder)
Quick highlights:
- End-to-end pipeline in Python
- Notebook walkthrough and reproducible experiments
- Demo: PLACEHOLDER_LINK
A toolkit for turning spreadsheets into automated workflows and internal tools. Built with TypeScript, React, and serverless endpoints.
Repo: https://github.com/Toptea444/sheetops-engine
Quick highlights:
- Spreadsheet-driven automation
- Realtime previews and CLI tooling
- Deployable to Vercel/Netlify
- Email: PLACEHOLDER_EMAIL
- Website/Portfolio: PLACEHOLDER_WEBSITE
- LinkedIn/Twitter: PLACEHOLDER_SOCIAL
- Resume: PLACEHOLDER_RESUME_LINK
- Banner image: replace assets/banner.svg in this repo with a custom image to update the top banner.
Thanks for stopping by — feel free to open an issue or drop a message if you want to build something together!