I'm an engineer and technology enthusiast with a strong background in full-stack app development, AI/ML models & applications, data analytics, and cloud computing. I graduated with my B.S. in Computer Science from Georgia Tech in December 2024, and I am currently pursuing my M.S. in Computer Science (Machine Learning concentration) at Georgia Tech expecting to graduate in December 2025. I thrive on solving real-world problems using data-driven approaches.

Outside of my work, I love staying active—hitting the gym, playing basketball, and watching all kinds of sports. I also love playing the guitar, exploring new restaurants, traveling to new places, and listening to music.

Certifications: Google Cloud Digital Leader (https://www.credly.com/badges/63952317-7e05-436b-b0b0-b56ff405fd7e/public_url)

• Built a full-stack web app that simulates NBA player swaps, compares team performance, and predicts title winners using historical and play-by-play data
• Developed interactive radar charts, substitution interfaces, and a season-long player impact simulator powered by a trained multi-output regression model (Test MAE: 13.29, RMSE: 16.06)
• Trained a logistic regression classifier on 2014–2024 NBA data to predict 2024–25 title odds, with visualizations for win probability
• Enables exploration of "what-if" matchups, season-level player substitutions, and dynamic team analysis for fans and analysts

GitHub Repo: NBA-WhatIf-Radar-App

• Simulated California wildfire propagation using a 2D SEIQRDP model and a graph-based network model informed by meteorological and land cover data
• Built a custom RK4 solver for differential equations and animated fire dynamics using Matplotlib
• Encoded fire transmission probabilities based on wind, temperature, humidity, precipitation, and distance
• Evaluated effectiveness of firefighting response times and visualized multi-phase spread dynamics

GitHub Repo: modsim-wildfire-spread

• Developed a browser extension using React for the frontend and FastAPI, Python, and Node.js for backend services and web scraping
• Integrated OpenAI GPT-4o for real-time fact-checking, sentiment analysis, and bias detection across text, images, and video content
• Achieved sub-2 second response times for real-time alerts and over 90% accuracy in identifying manipulated or AI-generated media

Devpost: Infoshield
GitHub Repo: Infoshield

• Developed an interactive touchscreen display for Georgia Tech's EcoCAR Connected and Autonomous Vehicles (CAVs) subteam, enhancing Human-Machine Interface (HMI) for the Cadillac Lyriq
• Designed dynamic UI components using QML in QtCreator, integrating real-time vehicle diagnostics and CAN signals for adaptive cruise control, propulsion monitoring, and eco-mode indicators

Georgia Tech EcoCAR team info: GT EcoCAR VIP Team
GitHub Repo: EcoCAR Touchscreen

• Developed a BERT-based financial model integrating stock headlines & numerical metrics
• Boosted prediction accuracy by 20% over traditional LSTM-based approaches

GitHub Repo: ML-Stock-Price-Prediction

• Built a full-stack gym assistant that helps users track workouts, visualize progress, and connect with a fitness community
• Implemented search-based exercise guidance with GIF demonstrations via the ExerciseDB API
• Designed a blogging feature where users can share accomplishments and seek advice

Devpost: Gym Buddies
Github Repo: Gym Buddies

Email: ronaldgeorge.sp@gmail.com