As Director of Computer Vision at Walmart Global Tech, I lead a 150+ person organization building the AI behind Sam's Club — autonomous robots and frictionless exit deployed in 600+ clubs, and a whole-store camera system in pilot. Before that, I grew a data science team from 3 to 20+ and built a demand forecasting platform that improved accuracy by 500+ basis points.
At Texas Instruments, I co-designed binary neural network chips and built model optimization tools and a DL model zoo for edge AI deployment. It all started in research at Georgia Tech, where I applied deep learning to sensor array and embedded/edge devices — with research stints at Microsoft Research and Aramco Research along the way. The thread through it all: taking research ideas and turning them into products that work at scale.
Technical Expertise
Education
Advisor: Prof. James H. McClellan. Center for Energy and Geo-Processing (CeGP).
Publications
Selected publications (by citation count). See my full list on Google Scholar.
Academic Service
- Adjunct Professor & Guest Lecturer, Naveen Jindal School of Management, UT Dallas (2022–present)
- Practicum Advisor, University of Arkansas (2023–2024)
- Research Affiliate, Georgia Institute of Technology — deep learning deployment on edge devices (2022–2024)
Open Source Contributions
- PyTorch - Open source machine learning framework
- NumPy - Fundamental package for scientific computing in Python
- ObsPy - Python framework for processing seismological data
- S3I (Seismic Simulation, Survey and Imaging) - MATLAB-based library for seismic simulation and imaging
- wiggle - Wiggle plot for seismic section data
- SeisCM - Seismic colormaps for geophysical data visualization
- ricker - Ricker wavelet generator for seismic synthetic signals