Software Engineering Intern
Motorola Solutions
AI-assisted reporting, backend diagnostics and mobile recovery tools
AI engineering · machine learning · full-stack
I build AI-powered developer tools, adaptive AR systems, and full-stack products that make complex technology easier to use.
01 / a tiny manifesto
I build at the tender edge of
systems & stories.
Part engineer, part researcher, always wondering: “could this feel better?”
02 / selected work
Hackathon-winning computer vision, grounded NLP, and applied AI projects built with collaborative teams.
Soul Signal is a full-stack AI drone-inspection platform for detecting cell-tower anomalies. It won Verizon's challenge at WEHack 2025.
DocuWrangler is a grounded Q&A system built for a 21-page annual report. It won the LTIMindtree challenge at HackAI 2025.
StepSync uses pose estimation and a Python video-analysis pipeline. I guided a six-person team across design, development, and testing.
03 / along the way
MS Computer ScienceIntelligent Systems · GPA 3.9 · Expected Dec 2026
BS Computer ScienceGPA 3.96 · May 2025
Gaze-based Prediction of Cognitive Load in Augmented Reality
2.79 million gaze data points · 0.85 test AUC-ROCMotorola Solutions
AI-assisted reporting, backend diagnostics and mobile recovery tools
UT Dallas
Systems programming support and mentorship across UNIX, C++, Java and object-oriented programming
Nebula Labs
Go APIs powering four apps for 1,000+ UT Dallas students
HexD Lab
Adaptive AR interfaces and 80% AUC cognitive-load prediction
UT Dallas
Java and AP Computer Science instruction for 15–20 middle and high school students
Information Data Systems
React, Next.js and Hedera Hashgraph development for a tokenization product
04 / off the clock
I'm serious about good systems, not about taking myself too seriously. Drag a little curiosity around.