TN

Taus Noor

Engineering Leader at DoorDash

Toronto, Ontario

Overview 

Taus Noor is a prominent engineering leader at DoorDash, known for being recognized in Forbes' 30 Under 30 list, with a strong background at Amazon and NVIDIA. Notable career highlights include leading engineering teams, being a Forbes 30 Under 30 recipient, and having experience at top tech companies like Amazon and NVIDIA.

Work Experience 

  • Engineering Leader

    2023 - Current

    Leading the Tax Platform engineering group across Toronto, San Francisco & Chicago — building the tier-0 software platform to calculate, remit and report taxes on all orders & sales across all verticals, product lines and regions around the world

DoorDash is a food delivery platform that connects customers with local and national businesses.

Raised $2,471,820,000.00 from Durable Capital Partners, Kohlberg Kravis Roberts, T. Rowe Price and Fidelity.

  • Software Engineering Manager III

    2022 - 2023

    Led the engineering group (within AWS Payments) owning customer payment preferences (including payment profiles), payment communications/notifications, payment policy/rules and special payment programs/offerings (like Advance Pay).

Amazon Web Services provides information technology infrastructure services to businesses in the form of web services.

  • Co-Founder

    2018 - 2022

  • Software Engineer, Deep Learning

    2017 - 2018

    • Developed the smart parking detection system from scratch by training deep neural networks to detect and identify vehicles on 360 degree cameras as part of the NVIDIA DeepStream team (owning NVIDIA Metropolis AI City)

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Raised $4,095,000,000.00 from ARPA-E and DARPA.

  • Software Developer, ML & Computer Vision

    2017 - 2017

    • Co-invented new technology for 3D object detection/localization using deep neural networks with IBM Research -- USPTO patent granted on April 2023, filed March 2018 (titled "3D Object Localization for Obstacle Avoidance Using One-Shot Convolutional Neural Network") • Developed custom computer vision solutions using deep learning and other algorithms for clients under the Watson IoT practice; deployed solutions on the cloud and on the edge (embedded system)

IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.

  • Teaching Assistant

    2016 - 2016

    • Course: CPSC 210 - Software Construction (OOP using Java, JUnit testing, Android app dev and various design patterns)

  • Full Stack Developer

    2016 - 2016

    • Developed, tested and improved the back end REST JSONAPI using Golang • Developed the website using Coffeescript and AngularJS (and HTML/CSS) • Developed the hybrid mobile app using Appgyver and AngularJS • Contributed to the developer documentation for the public API

  • Research Assistant

    2015 - 2016

    • Worked on the R&D of Texada • Built a new web app for Texada from scratch using AngularJS: http://bestchai.bitbucket.org/texada/ • Wrote both end-to-end and unit tests for the AngularJS app • Improved the core Texada tool using C++ and studied the mining algorithms used

  • Software Developer Intern

    2015 - 2015

    • Worked on a Windows application that syncs local folders with the Microsoft Azure Cloud using C# • Helped promote and teach Microsoft's dev and cloud technologies, particularly Microsoft Azure

Microsoft Advertising provides digital advertising solutions.

  • Co-founder & CEO

    2014 - 2015

    • Co-founded Incogmito, an anonymous social networking application synced with Facebook • Ran the company as CEO, raised angel investment and led the team to the finals of Bangladesh Startup Cup 2014-15 • Developed the prototype back end from scratch using PHP (a custom MVC framework) • Developed the prototype mobile app using Cordova for iOS and Android

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