Computer Engineering student at University of Houston building agentic AI systems, predictive ML pipelines, and a fast-scaling commercial multimedia studio.
I'm a Computer Engineering student at the University of Houston with a clear focus: building systems that work at scale. On one track, I design and ship ML pipelines and agentic AI tools. On the other, I run a commercial multimedia company with 70+ clients served and 48-hour delivery guarantees.
Both demand the same thing — rigorous problem decomposition, fast iteration, and accountability on outcomes. I don't separate "technical" from "creative." I treat them as complementary skill sets for the same goal: shipping results that are measurable and reproducible.
Currently completing Andrew Ng's Machine Learning Specialty Certification (Deeplearning.AI, expected June 2026) while finishing my B.S. in Computer Engineering (expected May 2028).
Building end-to-end supervised ML pipelines, agentic automation systems, and LLM-assisted developer workflows. Tools: Python, scikit-learn, NumPy, Claude Code, AWS, Azure.
Running a fast-turnaround multimedia studio specializing in studio photography, event videography, and digital marketing. 70+ shoots completed. 48-hour average delivery. Brenham, TX.
Agentic monitoring system built in Python and Linux to automate workflow orchestration, real-time CPU logging, and training validation. Binary classification with NumPy logistic regression.
End-to-end supervised ML pipeline to clean, validate, and model structured vehicle emissions data. RandomForest regression with 80/20 train-test split on unseen data.
Founder-operated multimedia company delivering studio photography, event videography, and digital marketing content. Built from zero to 70+ active clients with strict delivery SLAs.
Architected 4 dynamic Tableau dashboards synthesizing 250,000+ daily operational logs into real-time KPIs. PostgreSQL optimization reduced query latency by 45% and eliminated system bottlenecks.
Design Fortune Inc.
MogulFilmz Media · mogulfilmz.com
Available for work-terms, internships, and collaborations between June and November 2026. Open to ML engineering roles, data infrastructure, and agentic AI projects.