May 2021 – May 2021 · 0 mo

• Gave a talk on how challenging established best-practices in ML can open up surprising opportunities to gain an edge – especially in compute-constrained domains.

Feb 2020 – Dec 2021 · 1 yr 10 mos

• Built out our real-time predictive warning systems & active learning infra. Granted 4 patents across camera calibration, FCW, intersection detection, region-of-interest detection.

Aug 2019 – Feb 2020 · 6 mos

• Optimized our edge ML perception stack.
• Trained & deployed an edge-optimized NAS-CNN –> 40% speedup + 40% boost in mAP
• Applied 3 domain-specialized optimizations –> 30% speedup + 20% boost in mAP

Jun 2018 – Sep 2018 · 3 mos · Mountain View, CA

• (acq. Tesla)
• Prototyped a CNN for monocular depth estimation & 3D object localization (PyTorch)
• Wrote and unit tested an ROI Mean Pooling function (Pytorch, Cuda)
• Implemented a scalable framework enabling multi-sensor data synchronization (C++)

Mar 2018 – Jun 2018 · 3 mos

• With 5 others I teamed up with blockchain company ConsenSys to build a caching & UX layer for the Delphi protocol – a dispute resolution platform for freelance developers powered by Ethereum. We were motivated by the idea that a technology will never gain traction until it’s intuitive and accessible. Delphi Unchained allows any user to interact with the blockchain through a familiar client-server interface (via MetaMask/Web3), with the added benefits of reduced latency and cost of storing information.
• I worked on:
• Defining requirements and writing our SRS
• Building a PostgreSQL database to store data pulled off Ethereum (SQLAlchemy)
• Implementing a REST server to serve data to the web client (Python, Falcon)
• https://github.com/c-o-l-o-r/DelphiAPI

Aug 2017 – Jul 2019 · 1 yr 11 mos · Greater Los Angeles Area

• Introduced deep learning to our MRI image processing & brain segmentation pipeline. Applied CNNs to 2D and 3D brain segmentation to achieve an order-of-magnitude speedup over existing method.

Jul 2017 – Sep 2017 · 2 mos · Culver City

• Using Microsoft APIs, wrote a step library to automate edge-case testing. Library is currently being used to test Norton products (Python)

Jun 2016 – Sep 2016 · 3 mos · Sunnyvale, CA

• Using the Appium testing framework, automated dozens of UI-verification spec tests for PayNearMe's consumer bill pay apps (Android, iOS, and iOS web-based)