Led company-wide projects in collaboration with key stakeholders across the organization, taking on the responsibility of building critical end-to-end systems for autonomous checkout. Mentored engineers across the stack (frontend, backend, applied AI), and worked alongside product leaders to shape the vision and direction.

Founding Engineer, Built out a platform to perform daily map updates for the city of San Francisco and to enable the team to manage and store over 500 miles of raw sensor and map data.

Built a sub-second cloud based data trigger for on-demand data collection (GPS, IMU, Cameras, and Lidar) on a self-driving fleet that supported up to 10 vehicles, allowing a car to collect mapping data automatically from image recognition classifications.

Demo

https://vimeo.com/283999852.

Acquired by Standard AI

https://techcrunch.com/2019/01/07/autonomous-checkout/

Intel Nervana is a family of neural network processing hardware designed for training. Implemented layers in Neon deep learning framework to support Deep Speech 2 with flexpoint number format, allowing for testing the performance improvements of using flexpoint over float 32 number formats in training Deep Speech 2.

Official blog post here: https://bit.ly/flexpointblog (in Acknowledgements)

Cisco’s Hyper Innovation Living Lab (CHILL) brings together a select group of customers, vendors, designers, and hackers. Built a blockchain demo to allow executives to understand a blockchain for a product development innovation lab.

Worked with the teams of executives to build 3 prototypes, all of which received major interest in funding from a panel of executives from Intel, Citibank, DB Schenker, and Cisco. You can read more about it here https://bit.ly/3CGx2z1