Jamie Ray Email & Phone Number

Campbell, California, United States

Applying deep generative modeling to forecasts, e.g. of renewable energy, for grid optimization.

Mountain View, California, United States

Applying machine learning and computer vision to build models for autonomous driving.- Scene understanding- Lane detection- Deep learning on limited data

Palo Alto, California, United States

Applying machine learning to problems in finance.

San Francisco Bay Area

- Contracted on several research projects / consulted with expert networks looking for AI advice- Developed methods for unsupervised hierarchical clustering / classification (combining ideas from classification trees and deep learning)- Applied to PhD programs and was in the process of choosing when Covid hit... decided not to go

Menlo Park

• Engage in applied research to improve and scale machine learning for practical use, and publish results.
• Develop core computer vision technology from start to finish
• Implement design, data collection, training, backend, database, frontend, and client integration
• Process billions of images daily to provide computer vision signals to product groups across the company

Pleasanton

- Developed and benchmarked proprietary computer vision algorithms to detect, track, andrecognize objects in video through system that is highly parallelizable and robust to noise.- Explained technology (with demos) to several investor groups.- Recognition system achieves > 80% verification on restricted LFW dataset.

Stanford, CA

- Adapted state of the art recommendation system algorithms to a professional social networkusing a probabilistic graphical model.- Designed all elements of back-end pipeline (API, algorithm, and graph database).- Application to seed dataset from applicant tracking system yielded 3x relative throughput ofhire-able candidates at a low (< 20%) miss rate.

Mountain View, CA

Wrote and tested ground software (C++) to assist with the team's processing of high-resolution satellite imagery. Independently developed a video compression module (FFMpeg h.264 standard) to generate a commercial video product with a variety of encoding parameters.

Enhanced a low-temperature experiment measuring electron transport in 'artificial atoms,' or quantumdots. Designed and built shielding, measurement electronics, and regulated power supplies.Performed characterization of novel device designs at 4 Kelvin temperature and high vacuum.

Wrote machine learning software (using neural networks and BDTs) to improve photon identificationwith a combination of detector variables in Monte Carlo simulation. Application to Higgs Bosonsearch gave 30% improved performance; algorithm is now leveraged in other physics analyses.

Assembled, operated, and tested a prototype cosmic ray detector. Developed software package withgraphical user interface to analyze cosmic ray events. Analyzed data from particle collisionsproducing a two-photon signature predicted in the decay of exotic particles (Higgs Boson).

Assisted postdoctoral researcher with analysis of particle collisions producing a two-photon signaturepredicted in the decay of exotic particles (Higgs Boson). Focused on development and documentation ofsoftware. Full-time summer (6/2008 – 9/2008), otherwise 8 hours/wk.

Master Of Science (Ms), Electrical Engineering, 4.0

Activities and Societies: Tau Beta Pi Intramural Sports Volleyball Distance RunningMachine Learning, Image Processing, Computer Vision.

Bs, Engineering Physics, 4.0

Activities and Societies: Coursework in Physics, Computer Science, Energy Technology, and Math. Intramural Sports, Running ClubSolved.

Coursework, Physics, Computer Science, Energy Technology, And Math

9/2006 ­ 6/2009) Advanced Placement courses in calculus, physics, and chemistry. Independent Study of quantum mechanics. Participated in.