About Me
a
Education
CS & Data Science, UW-Madison
GPA
4.00 / 4.00 · Dean's List
Interests
AI/ML, Computer Vision
Fuel
Red Bull & curiosity
I'm a double major in Computer Science and Data Science at the University of Wisconsin–Madison, graduating May 2028 with a 4.0 GPA.
My work spans autonomous vehicles, bioinformatics research, and full-stack development. I'm currently on the Wisconsin Autonomous Perception Team, engineering computer vision capabilities for a student-built self-driving car. Before that, I analyzed single-cell RNA datasets as a research mentee at Stanford's Robinson Lab.
I love building things end-to-end: from React frontends and REST backends to ML pipelines and embedded robotics. If there's a hard problem and a clear impact, I'm interested.
Portfolio
Things I've built to learn, solve problems, or scratch a creative itch.
3.2 km
Distance
24:18
Time
248 cal
Burned
Health & Lifestyle Run Tracker
React + Vite run tracker with custom routing, run history, and real-time GPS. Google Maps API for dynamic route rendering and waypoint selection, plus MET-based calorie estimation.
42 cm
Distance
ACTIVE
Status
PWM ✓
Motors
Autonomous Computer Vision System
OpenCV + ultrasonic sensor robot that autonomously tracks a ball. Uses object position for movement control, an LED matrix for distance readout, and PWM for synchronized wheel motors.
Full-Stack College Matching App
React + Node.js/Express app that parses uploaded resumes via OpenAI GPT-4o mini and generates personalized Reach/Target/Safety college lists with a RESTful API backend.
Background
Research, internships, and community impact.
Wisconsin Autonomous (UW-Madison)
Madison, WI
Engineered core computer vision capabilities for a student-built autonomous vehicle. Trained and optimized a MobileNetV2 image classification model to accurately identify and categorize diverse traffic signs.
Susumu USA
San Jose, CA
Designed and implemented an end-to-end automated order processing system using Power Automate to monitor incoming emails and route notifications to relevant personnel. Eliminated manual data entry, removing human transcription errors and accelerating order processing turnaround times.
Robinson Lab (Stanford University)
Palo Alto, CA
Analyzed bulk and single-cell RNA datasets using R to investigate gene expression patterns related to gout pathogenesis in human and murine models. Developed clustered visualizations using PCA and t-SNE to interpret high-dimensional biological data and identify key genetic markers for therapeutic research.
Achievement Connections — West High School
Madison, WI
Provided individualized weekly tutoring sessions to two high school students, building a strong foundational understanding of core Algebra I concepts.
Tech Stack
Technologies I use — grouped by category and proficiency.
Python
Java
C / C++
R
Bash
Assembly
Power Automate
React
Node.js
Express
Tailwind CSS
Scikit-learn
OpenCV
Git
Linux
Power BI
RESTful APIs
Certification
Introduction to Machine Learning: Supervised Learning — Coursera
Academics
Relevant CS & Data Science courses at UW–Madison. All As — 4.0 GPA.
Fall 2024
Spring 2025
Fall 2025
Spring 2026
Fall 2026
Programming II
Intro to Computer Engineering
Linear Algebra
Intro to Discrete Mathematics
Programming III
Data Science Modeling I
Machine Organization & Programming
Data Science Programming II
Data Science Modeling II
Intro to Artificial Intelligence
Techniques of Ordinary Diff Eqs
Intro to Mathematical Statistics
Introduction to Algorithms
Foundations of Mobile Systems
Data Ethics and Policy
Contact
Have a question or opportunity? I'm always open to interesting conversations, internship opportunities, or research collaborations. Reach out — I reply fast.
© 2026 Nikolas Margaritis — Built with Next.js & Tailwind CSS