Context
I’m a Computer Science student (Mathematics minor) at the University of Louisiana Monroe engineering AI-as-a-service platforms, high‑performance data pipelines, and research tooling that converts raw complexity into usable insight.
What I Build
I focus on performant web & data systems for learning and science. I’ve architected scalable, secure education platforms for Clamphook and Padhao, resolving 100+ issues and cutting deployment & maintenance overhead through CI/CD automation (‑65% deploy time) and observability.
Research & Data
In collaboration with Dr. Jhim Shim, I explore algorithmic number theory (Meissel–Lehmer prime counting efficiency). At the Simons Foundation I processed 1.2 TB of BlastoSPIM embryo microscopy and built a custom 4‑channel 3D CNN trained on the institute’s ultra power‑efficient HPC supercomputer for automated nucleus state classification.
Leadership
As President of the Google Developer Student Club at ULM, I’ve grown a 250+ member developer community, driving 40% year‑over‑year event participation growth. I organize workshops, coding challenges, and cross‑department collaborations while securing grants and sponsorships and earning multi‑category marketing recognition.
Technical Interests
Current interests include: distributed inference for scientific imaging, reproducible ML evaluation, algorithmic efficiency in number theory, edge deployment patterns, and educational tooling that shortens the distance between curiosity and validated learning.
Why It Matters
I like building systems that lower friction: faster deploys mean more experimentation; structured datasets unlock better models; clear learning pathways widen access. The through‑line is leverage—turning effort into repeatable, compound impact.
If you’d like to collaborate on applied ML, education infrastructure, or data tooling, I’d love to connect.