Software Engineer at Microsoft Previously, Hardware Engineer at Apple. Research areas of interest include machine learning, neural network architecture, and hardware acceleration

Experience

2024 — NowMicrosoftSoftware Engineer II

2024 — Now

2022 — 2023Refuel.AISoftware Engineer

2022 — 2023

2018 — 2022AppleHardware Engineer

2018 — 2022

Cupertino, California

2016 — 2018Texas A&M UniversityMachine Learning Research

2016 — 2018

GPU Accelerated Spiking Neural Network Simulator

Hands on development of a C++/CUDA based spiking neural network (SNN) simulator

Developed for general deep learning applications, specifically natural language processing

SNN simulation based on the Leaky Integrate-and-Fire model

2017 — 2017NVIDIASoftware Engineering Intern

2017 — 2017

Santa Clara

Performance optimization of CPU scheduling in unreleased NVIDIA hardware

Implementation and evaluation of cpusets in Android N device

Worked on miscellaneous bug fixes as needed

Education

2014 — 2018

Texas A&M University

Computer Engineering

2014 — 2018

2019 — Present

Stanford University

Artificial Intelligence Graduate Program

2019 — Present