Work
Internships, projects, and research, pinned up roughly as they happened.
Three roles, three very different problems.
May 2026 – Present
Dominion Energy — IT & Data Analytics
Migrated and rebuilt four production revenue-forecasting models into Dataiku, maintaining or improving predictive performance across millions in revenue planning. Led a proof-of-concept for AI-driven inventory deduplication, projected to save roughly $200K over third-party vendor options.
May – Aug 2025
Mission Ready Software
Shipped 14+ production features for internal reliability and diagnostics tooling. Built a world-event analyzer using embeddings, KNN retrieval, and LLM-based context generation, cutting root-cause analysis time from days down to minutes.
May – Jul 2025
Turing
Labeled and evaluated model outputs for research teams working on Google Gemini, supporting prompt-engineering experiments and surfacing model weaknesses across CS and math domains.
Hackathons, coursework, and things built for the sake of building them.
2026
Smart pill container + companion app
Ran 180+ customer interviews on medication adherence among young adults, then co-built a context-aware reminder system (calendar + GPS) to cut notification fatigue around dosing and refills. User testing showed reduced stress and more confidence in daily routines.
2025
ColorStack Responsible AI Hackathon
Built the backend safety-ranking algorithm for a motorcycle routing app, weighting curvature, weather, traffic, and speed limit with user control, and generating LLM-written explanations for each ranking. Won Most Commercially Viable.
View on Devpost →2025
CS 4641 — Machine Learning
Cleaned, embedded, visualized, and classified 1.76M Reddit posts across four models: Naive Bayes, Random Forest, LightGBM, and a neural network. Then compared performance and tested against real, unseen posts.
2025
Exploratory Project
Explored 2024 NOAA storm data (60K+ records) to identify patterns and trends in severe weather events. Performed feature engineering, created embeddings, and built Random Forest models to classify storm type and predict impacts.
2025
Hackalytics
Built an AI mock technical interviewer using speech-to-text, an LLM, and text-to-speech to simulate a real interview with feedback. Led the frontend build in Mantine, focused on making it feel intuitive under time pressure.
View on Devpost →2024
AI ATL
Designed and built an AI-powered closet assistant in 36 hours using NLX Dialog Studio and Claude 3.5 — chatbot backend and outfit-generation pipeline through prompt engineering. Won Best Beginner Multimodal AI project.
View on Devpost →2023 – 2024
Two-semester product research
Customer discovery and iterative design around UN SDG's quality-education goal. Researched and prototyped tools to help students with Visual Stress Syndrome read more comfortably, grounded in human-centered design.
Labs and long-running questions, alongside the internships.
Jan – May 2026
Aerospace Systems Design Lab — AFRL collaboration
Researching reinforcement-learning policies for aerospace training simulations. Implemented and evaluated a Soft Actor-Critic (SAC) control policy within the lab's plug-and-play simulation environment to inform autonomous decision strategies under uncertainty.
Aug – Dec 2025
Sonification Lab
Evaluated five mapping technologies for accessible map design aimed at visually impaired users, helped define usability metrics, and built datasets that fed subsequent experiment pipelines.
Jan – May 2024
Georgia Tech VIP — Iceman Team
Modeled glacial plume dynamics in MATLAB and MITgcm to study how melt rates affect sea-level rise, and documented workflows to make results reproducible across a multi-semester research team.
Jun – Aug 2022
VCU College of Engineering — NLP Lab
Researched computer-vision techniques and built a Python/OpenCV pipeline that automatically graded hand-drawn patterns against a gold standard, replacing manual review and cutting evaluation time from hours to minutes.
View on GitHub →