Cloud
- AWS
- Azure
- GCP
- Multi-cloud
USA · University of Houston–Clear Lake
Infrastructure Engineer. Cloud, platforms, and the cluster underneath the model.
I build reliable, automated infrastructure across DevOps, SRE, and platform engineering — and I am expanding into HPC, GPU clusters, and MLOps.
01 / About
I work at the intersection of cloud platforms, containers, and operational reliability. The goal is the same whether the surface is Kubernetes, Terraform, or a CI pipeline: systems that are observable, repeatable, and boring in the best way.
The public work below is taken from my own GitHub repositories — HPC notes, a geophysics capstone, application code, and on-chain projects. Forks of other people’s repos stay off this page.
02 / Stack
03 / Work
Repositories with a real system behind them, drawn from my own GitHub account.
Python · Tkinter · 2026
Capstone desktop app for survey geometry. It lays out sources and receivers, then computes common midpoints, fold coverage, and offset distribution so a plan can be checked before anyone goes to the field.
Repo →HPC · 2026
A structured field guide from cluster architecture through MPI, OpenMP, CUDA, SLURM, Apptainer, and performance notes — written from hands-on cluster use, courses, and docs.
Repo →Next.js · Gemini · 2025
A career-growth product in Next.js. Auth is Clerk, data is Prisma, background work runs through Inngest, and Google’s Generative AI SDK sits behind the product features.
Repo →Solidity · Hardhat · 2025
An ERC-20-style token with issue and redeem, transfer fees, pause, blacklist, and a deprecation path onto an upgraded address. Contracts live beside a Hardhat config and tests.
Repo →Java · Spring Boot · 2024
A Spring Boot product service backed by MongoDB, with Testcontainers wired into the test suite so the service is exercised against a real database.
Repo →Rust · Solana · 2024
A Solana program written with Anchor. The repo includes the Rust program, migrations, and TypeScript tests for a vault.
Repo →04 / Focus
I am building toward the compute, networking, storage, and orchestration layer that ML workloads need at scale — not just training notebooks, but the cluster they run on.
05 / Contact
Open to platform, SRE, and HPC/AI infrastructure conversations. The fastest way to reach me is GitHub.