From 2020-2024, I worked as a Data Scientist and Machine Learning Engineer at AWS Worldwide Public Sector, assisting government and nonprofits with AI/ML solutions. I collaborated with talented colleagues and customers on diverse use cases […]
I’m co-author on a paper ‘CupidShuffle’ that modifies MobileNet embedding to to use Transformers, result is an efficient embedded computer vision model targeting edge/IOT. The core idea and implementation were performed by co-author Matt, I […]
Refactored an acquired startup ‘interior analytics’ code into a standard production micro-services application deployment (CI/CD, dev/state/production, testing, monitoring) initially bluetooth, then wifi Succeeded – got it over 70x faster. decomposed the ‘application monolith’ w/ micro-service […]
OpenPTrack is an open source person tracking project that is meant for creative uses of person tracking. (including STEM education). Installed ten multi-sensor installations (and counting) throughout 2014 & early 2015 using OpenPtrack, a scalable open-source […]
As a UCLA Staff Research Analyst, I was fortunate to contribute to the National Science Foundation’s Future Internet project called Named Data Networking (NDN). We wrote applications in both IP and NDN to compare them, […]
My third interactive design study for a pediatric ward. I conceived, developed, and installed a 4800×1200 video wall array with 3D generative organisms that respond to both crowd behavior as well as individual children. Multiuser. […]
Two storefront windows along Canal street in New Orleans were transformed for one week into nightly ‘intelligent video mirrors’ for an Art & Architecture festival. One simply took pictures of anyone who faced their reflection […]
Participated in a team to realize a 60-monitor stereoscopic VR experience that allowed the user multimodal interaction with over the millions of new proteins from Craig Venter’s CAMERA project; which followed Darwin’s path, sampling and […]