Mosaic ML research @ Databricks

Lead for open and closed loop model development and various model platform projects- Optimized the training efficiency of reinforcement learning models and expanded its training capacity- Unblocked the deployment of reinforcement models- Enabled researchers to design and experiment interactive and RL models- Accelerated data processing pipelines that uses model inferencinghttps://medium.com/nuro/jonathan-booher-wei-liu-zixun-zhang-joyce-huang-ethan-tang-18db008d5d08

Worked on designing foundational platforms for self driving model development- Lead the migration effort of models from Tensorflow 1 to Tensorflow 2 + Keras- Optimized training efficiency of various perception models to cutdown training time and save cost- Unblocked various model development and optimization efforts such as QAT and pruning- Developed general model training libraries to accelerate model development

Worked on Nvidia's autonomous vehicle infrastructure team (Maglev) to bring NVAutonet into production- Prototyped model development in PyTorch- Optimized model training performance to train faster- Implemented better loss balancing algorithms to improve model accuracy

Working on scaling one of the world's biggest deep learning systems for autonomous vehicles

Worked on Machine Learning Platforms on Uber's Michelangelo team

Worked on releasing DIGITS 6 with Tensorflow support, available at: https://github.com/NVIDIA/DIGITSImplemented several network models in Tensorflow such as: GoogLeNet, UNet, ResNet, Gradient model, Auto-Encoder, Siamese model.Worked on coordinating and creating release builds for DIGITS 6 for both public and NVidia's DGX customers

Migrated an internal application's frontend codebase from KendoUI + ES5 to VueJS + TypeScript, making frontend UI coding a lot more smoother.Designed and developed an integration testing server based utilizing NUnit as its core testing framework, allowing test assemblies to be uploaded and executed on the testing server while reporting back to the user status of the tests that are running.

Fall term 2015 coopWorking on micro-services project in Java with Jersey and front end with Play, Angular, HTML5, and CSS3Developed a payment tools micro-service for payment diagnostic and resolutions

Winter term 2015 coop.Worked on Web app using Angular JS, HTML5, and CSS3 for front end. C# and C++ for back end with SQLite database

QA - creating test cases, debugging application, automating testingDeveloper - Bug fixing, application development