Not interested in a new position. Things I like to do: - Rewriting Python in C and making it callable in Python for performance reasons - Building RESTful APIs (and dashboards) in Django - Solving problems that could be rephrased as MDP or POMDP problems - Solving zero-sum problems - Using statistical models to...

2023 — NowNVIDIASenior Software Engineer

2023 — Now

Seattle, Washington, United States

Designing & building a suite of Python tools to assist admins and engineers deploy a hardware agnostic Slurm 22 cluster. Clusters must support a myriad of permutations of pre-release GPUs, operating systems, CPUs, drivers, vbios, etc. These internal clusters are commonly used by internal teams such as TensorRT and DLSim.

2020 — 2023NVIDIASoftware Engineer

2020 — 2023

Seattle, Washington, United States

Built a pipeline to allow GPU tracing software to run on Kubernetes clusters (originally SLURM)

Built infrastructure to record GPU/CPU/System performance data of deep learning inference

Connected a react + elasticsearch powered dashboard to MLPerf and TensorRT team DL performance pipelines to track neural networks performance over different chip/driver combinations

Created a tool to classify DL networks given topology + determine category of DL network (E.g. NLP, CV, etc)

General internal tool software quality upgrades

Create and maintain microservices that communicate with SLURM & other internal tools.

Prototype dashboards in streamlit/jupyter notebooks and develop them into React Apps

Developed major components of a Python CLI toolchain to deploy slurm 22 to empower other engineers to test the latest and greatest ML Models on the latest and greatest GPUs.