Software Engineer | Materials Science PhD
Scaling compute infra for scientists and engineers. Georgia Tech, PhD 2022 UCLA, B.S. 2017
2025 — Now
San Francisco Bay Area
2024 — 2025
Alameda, CA
https://science.xyz/technologies/nexus/ -Experimental configuration + data ingestion + visualization software ecosystem for neuroscience applications.
2023 — 2024
Walnut Creek, CA
Distributed systems backend engineer, cloud HPC platform for DFT-focused materials modeling and simulation.
2022 — 2023
Evanston, IL
Integrated Computational Materials Engineering (ICME) to rapidly optimize & design novel materials.
I built a parametric simulation system on top of AWS Batch to streamline large scale fatigue studies.
2017 — 2022
Atlanta Metropolitan Area
Materials Science and Engineering.
• Alloy property prediction (steels), theoretical model development and implementation.
• Massively parallel (MPI) CPU software development in C++ and Fortran, (LAMMPS and in-house codes).
• Analysis and visualization of high dimensional datasets Python scientific stack (Jupyter, Scipy, Pandas).
Georgia Institute of Technology
UCLA