Pape Ndiaye Portfolio

// pape.jsconst pape = { name: "Pape Ndiaye", school: "University of Rhode Island", major: "Computer Science", graduating: "December 2027", github: "papendiaye21", interests: ["AI-native software", "full-stack apps", "machine learning"], skills: { languages: ["Python", "JavaScript", "TypeScript", "Dart", "C++"], frameworks: ["React", "Node.js", "Flask", "FastAPI", "Flutter"], cloud: ["AWS S3", "PostgreSQL", "Firebase", "Cloud Run"], security: ["RBAC", "JWT", "OAuth 2.0"], }, projects: ["CareSync", "allRunners", "Diamond Price Prediction"], lookingFor: "Summer 2027 internships and full-time roles",};// build things that work, then explain them wellfunction ship(project) { const repo = `github.com/${pape.github}/${project}`; return { repo, status: "deployed" };}pape.projects.forEach((p) => console.log(ship(p)));# train.pyfrom sklearn.ensemble import RandomForestRegressormodel = RandomForestRegressor()model.fit(X_train, y_train) # diamonds: test R2 0.983

I'm Pape, a computer science major at the University of Rhode Island, graduating in December 2027. I like building AI-native software, where a model is part of how the product works instead of an add-on.

My projects so far include CareSync, a clinic platform with patient and clinician portals, allRunners, a running tracker with GPS trails and Smashrun sync, and a machine learning study that predicts diamond prices with a tuned Random Forest.

I'm passionate about writing code, building projects, and exploring emerging technologies. Skilled in Python, JavaScript, and C++, with experience developing programs and designing algorithms that strengthen technical and problem-solving abilities. An aspiring software engineer dedicated to continuous learning and creating efficient, user-centered solutions.

I'm looking for summer 2027 internships and full-time roles.

Add images/caresync.png
Clinic platform
CareSync

A full-stack healthcare platform with separate portals for patients and clinicians. Patients register and book appointments, and clinicians get a dashboard and calendar with patient vitals linked in. Access is controlled with JWT authentication, OAuth 2.0, and role-based permissions across four user roles. Patient data is scoped by clinic, and the API adds audit logging and rate limiting.
- React 19
- Node.js
- Express
- PostgreSQL
- AWS S3
- RBAC
View on GitHub ↗
Add images/allrunners.png
Running tracker
allRunners

A full-stack running tracker. Log runs with distance, time, and notes, then see pace, stats, goals, and splits. Record GPS trails in the browser and check local weather. A Flask REST API with 18+ endpoints powers a vanilla JavaScript app that syncs with Smashrun through OAuth 2.0, and it installs as a PWA with offline support.
- Python
- Flask
- SQLite
- JavaScript
- PWA
- OAuth 2.0
View on GitHub ↗
Add images/diamond-price-prediction.png
Machine learning
Diamond Price Prediction

Compares five regression models that predict diamond prices from the 53,940-diamond ggplot2 dataset. The tuned Random Forest performed best, with a test R² of 0.983 and a mean absolute error of $266. SHAP analysis shows that carat and physical size dominate price.
- Python
- scikit-learn
- pandas
- SHAP
- Jupyter
View on GitHub ↗

Pape
Ndiaye

About

Projects

CareSync

allRunners

Diamond Price Prediction

Skills

Languages

Frameworks and tools

Cloud and databases

Security

AI

Resume

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