Derek Papierski — AI & software engineer
I’m Derek. I build software, care about design, and like figuring out how things work.
Projects
- RENEW SclerodermaA mobile app for managing fatigue with scleroderma2025 - present

The Michigan Medicine app helps people with scleroderma manage fatigue. I redesigned its screens and maintain the React Native app, backend, and releases.
- App development
- Product design
- SproutAn AI health coach API for research teams2025 - present

I built Sprout at Michigan Medicine as an AI health coach API for research teams. RENEW uses it to answer participants' questions and coach them with context from their goals and earlier conversations.
- System design
- AI
- The Stitches Doll ProjectA new website for an HIV/AIDS nonprofit2026 - present

I designed and built a new website for the Stitches Doll Project, an HIV/AIDS nonprofit. The work covered the full site, from its structure and visual design to development and hosting.
- Web development
- Product design
- Code CoachA coding practice platform for a university ACM chapter2025

A coding practice app I built with two classmates for UM-Dearborn’s ACM chapter. I designed it and built most of the frontend and backend, including the workspace and AI coaching.
- Web development
- AI
- Product design
- SpeakLabSpeaking practice and technical learning with local AI2026
I built SpeakLab to practice explaining technical ideas out loud. Its local AI pipeline transcribes recordings and gives feedback to guide the next attempt.
- System design
- AI
- PE TrackerSearching brands and tracing who owns them2026
Search for a brand and follow its parent companies, with sources for each connection. I built the data collectors, ownership graph, and search interface.
- Data engineering
- Web development
- Bank customer churn analysisFinding patterns in customer churn and predicting who leaves2024
An analysis of 10,000 bank customers to understand who leaves. I explored the data and trained a random forest, focusing on how many departing customers it could identify.
- Data analysis
- Machine learning
- Gaming sentiment analysisAnalyzing player feedback and classifying gaming tweets2024
An analysis of about 61,000 gaming tweets to compare player sentiment. I explored recurring topics and trained models to classify the feedback.
- Data analysis
- Machine learning