Jackson Johannessen
Computer Science student at University of Florida building data-driven systems, ML pipelines, and scalable software.
Projects
FutPlot
AI-Powered Soccer Intelligence Engine
Interactive soccer analytics platform with AI reasoning powered by Gemini API + RAG. Visualizes 15+ performance metrics for 2,500+ players across Europe's top 5 leagues, with weekly automated data updates via GitHub Actions.
FutPredict
FIFA Player Performance Predictor
Engineered ML pipeline via XGBoost to forecast player ratings, achieving 1.52 MAE across 17,000+ samples. Full-stack architecture with FastAPI on AWS Lambda, PostgreSQL on AWS RDS, and a Next.js frontend for multi-season projections and market value estimation.
Game Boy Emulator
Cycle-Accurate Hardware Emulation
Cycle-accurate Game Boy emulator implementing the full LR35902 instruction set with 500 opcodes, flags, interrupts, and accurate execution cycles. Optimized to 21x real-time performance with hardware-faithful PPU rendering via SDL2.
Music Recommendation Engine
Full-Stack Development
Web app that takes a song name and returns the 7 most similar songs from a 114,000-song dataset, using a trie for search and a similarity algorithm for ranking.
Asteroid Threat Detection
Machine Learning, Data Science
A machine learning model that classifies near-Earth objects (NEOs) as hazardous or non-hazardous based on features like size, orbit, and velocity. Results are visualized in graphs to highlight which attributes most influence hazard status.
Experience
Data Engineer Intern
Naples Comprehensive Health
Building data pipelines and full-stack dashboards for a healthcare company. Architected an AWS Lambda & S3 pipeline that cut processing time by 80%, and developed internal tools with React, Flask, and MongoDB to streamline auditing and drive data-informed decisions.
Embedded Software Engineer
UF Swamp Launch (NASA Student Launch)
Developing payload software for UF's NASA Student Launch rocket. Built a real-time data logging system in C++, wrote a custom I2C driver for clock synchronization, and designed a bit-packing algorithm to compress sensor data for the onboard Raspberry Pi.
Skills & Technologies
Languages
Data & ML
Frameworks & Cloud
Databases & Tools
Specialties
Relevant Coursework
About
I'm a Computer Science student at University of Florida with a minor in Statistics, focused on building data-driven systems and turning raw information into actionable insights. My work sits at the intersection of data engineering, machine learning, and software development.
Currently, I'm working as a Data Engineer Intern at Naples Comprehensive Health, where I architect AWS Lambda & S3 pipelines, build full-stack dashboards with React and Flask, and automate data workflows that drive operational decisions. I'm also an Embedded Software Engineer on UF Swamp Launch, developing payload data systems for the NASA Student Launch challenge.
I believe the best engineering is grounded in data. Whether it's optimizing a pipeline, training a model, or shipping a product, the goal is always to build systems that are fast, reliable, and impactful.
University of Florida
B.S. Computer Science, Minor in Statistics
3.95 GPA
Gainesville, FL
Available for internships & full-time