Education
Georgia Institute of Technology
Master's of Science in Computer Science
Expected Graduation: May 2028
Coursework
Machine Vision
Probability & Statistics
Deep Learning
Linear Algebra
Work Experience
HandshakeAI
AI Trainer (Contract) | January 2026 - Present
- Evaluated LLM-generated solutions across 20+ software codebases, identifying correctness issues and edge case failures in code outputs.
- Authored 20+ technical prompts & solutions in software engineering problems to improve model accuracy.
- Provided structured technical feedback on model reasoning, debugging logic errors and proposing fixes adopted in subsequent training data.
MapConnect
Software Engineering Intern | January 2025 - Present
- Built and shipped interactive campus maps for two high schools using JavaScript, Node.js, and Firebase, delivering navigation tools used by students and staff in production.
- Developed frontend map components and backend Firebase Cloud Functions to serve location data, building each school deployment end-to-end from data ingestion through live release.
- Operated in an early-stage startup environment with minimal structure, owning feature delivery independently and coordinating directly with the founding team on requirements and rollout.
Colorstack
Software Engineer | October 2024 - Present
- Collaborating with a team of 70 software engineers on Colorstack’s open-source Oyster project, gaining hands-on experience with a real-world production codebase used by over 12,000 active users, and contributing to multiple features and bug fixes.
- Developing and testing new features in both the Admin Dashboard and Member Profile applications, debugging issues and ensuring a 100% satisfactory user experience for ColorStack members.
- Spearheaded the implementation of a duplicate resource prevention mechanism using React.js and Typescript, improving community data accuracy and reducing redundant submissions by over 90%.
Headstarter AI
Software Engineering Fellow | July 2024 - September 2024
- Developed 5 AI projects with the final project targeting either 1000 user sign ups or $1000 in revenue.
Projects
Al-Iman Masjid Website — w/ AI Q&A Assistant
Built a retrieval-augmented Q&A assistant over 6 indexed masjid documents (prayer schedules, zakat/sadaqah policy, event listings, Islamic FAQ PDFs), returning inline-cited answers grounded exclusively in source passages to eliminate hallucinated responses.
Dog Vision
A powerful deep learning model trained on 10,000 images that can detect the breed of a dog given a picture of it.
Sale Price Predictor
A machine learning linear regression model trained on 400,000 auction records that predicts the sale price of bulldozers given 12 features (data engineered to 15).
Stroke Predictor
A machine learning model to predict the likelihood of strokes based on medical and demographic attributes. The model achieves high accuracy through hyperparameter tuning and extensive data preprocessing.