Builder · Co-Founder & Head of Product @ CiviSight Inc.
// text → number → voltage: a name is just a pattern of HIGHs and LOWs
I build systems and models that ship, and I've always been obsessed with the skies above and the physics behind them.
I'm a Software Engineer and ML Engineer studying Computer Science and Astronomy at the University of South Florida (Judy Genshaft Honors College). I'm part of Student Government and lead the tech division of the ACM Student Chapter. When I'm not building, I'm reading astrophysics papers, observing the stars, or math-ing.
Building an AI-native compliance platform for Georgia's Department of Community Affairs: statutory filings across 750 local governments, anomaly detection against a decade of historical filings, and plain-English querying over all of it.
Worked on the API gateway coordinating 8 async worker services across 16 Redis-backed queues, plus an autoscaler that sizes the fleet from live queue depth, cutting p95 job wait from 4m to 25s.
Flood-extent segmentation across Sentinel-1 radar and Sentinel-2 optical imagery, lifting IoU from 0.63 to 0.81 over 12,000 scenes. Also built a pass-prediction service covering ~8,000 satellites behind a Cesium globe.
Led the entire technical arm of ACM, a team of 10 including Tech Leads, Hardware Lead, Software Lead, and their shadows.
Telemetry subsystem for student-built rockets: sensor packages, flight data collection and analysis, real-time monitoring dashboards for launch ops.
Led the organising team of the Southeast Regional Conference: $10,000+ in funding, 10+ industry speakers, 200+ attendees.
Early-stage rocket design and analysis with the engineering team: simulations, documentation, test preparation. Earned a letter of recommendation.
A fleet of autonomous finance agents for startups: they tune AI spend, catch and negotiate forgotten SaaS renewals, and keep watch on expense compliance.
Predicts stroke risk for diabetic users from personal health data and provides daily personalized macronutrient and meal recommendations.
A smart web app that lets students report issues in campus buildings by simply uploading a photo. No more questions asked!
A web-based loan recommendation system that analyzes financial data and predicts loan approval likelihood using statistical modeling.
Python · C/C++ · Go · SQL · JavaScript · TypeScript · HTML/CSS
TensorFlow · scikit-learn · Pandas · NumPy · SciPy · Matplotlib
Kubernetes · Docker · Terraform · AWS · GCP
Git · Selenium · Flask · SPSS · R · NVivo · Data Viz
Nothing escapes a good idea horizon.