Senior undergraduate, B.S. Physics (Photonics & Lasers), Southern Illinois University Edwardsville, graduating May 2026. Interests: GPU performance engineering, parallel computing, compilers, ML systems.
Edwardsville, Illinois (open to Austin, Seattle).
- cuda-learning — CUDA kernel exercises with Nsight Compute profiles.
Forthcoming: a progressive fp16 GEMM targeting Turing tensor cores; Flash Attention from scratch in CUDA, Triton, and HIP; an out-of-tree LLVM Function pass operating on CUDA-compiled IR; an Airflow DAG for multi-GPU kernel regression testing.
Engineer 1, Software Enablement — Abercrombie & Fitch, October 2023 – March 2026. Infrastructure and observability.
ML Infrastructure Engineer — C.H. Robinson, May 2022 – May 2023 (remote). ML pipeline platform built on Astronomer / Airflow, Kubernetes, Docker, Azure (AKS), and Snowflake. Monitoring with Grafana and Prometheus. Infrastructure as code with Terraform and Atlantis on Azure DevOps.
Big Data Engineer — Techolution, October 2021 – May 2022 (remote). Designed and operated over ten asynchronous data processing pipelines on GCP using Apache Beam and Cloud Dataflow for a Fortune 500 client.
Research Assistant — Southern Illinois University Edwardsville, August 2021 – January 2022. Parallelized a MATLAB metaheuristic optimization package (hybrid genetic + swarm) on the university's distributed HPC cluster; automated testing against twenty-one trial functions.
B.S. Physics, Specialization in Photonics and Lasers. Southern Illinois University Edwardsville. August 2022 – May 2026.