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Arbaz Khan

Software engineer with ML/NLP educational background and industry experience

Arbaz Khan is a Staff Software Engineer specializing in Machine Learning (ML) Infrastructure at DoorDash.1 He has a strong background in software engineering with a focus on ML and Natural Language Processing (NLP).1

Professional Experience

Arbaz currently works at DoorDash, where he is involved in building and delivering intelligent features end-to-end. One of his notable projects at DoorDash includes working on Fabricator, a system that enables automated and continuous deployment of end-to-end infrastructure integrations for ML features.2

Educational Background

Arbaz holds a Master's degree from the Indian Institute of Technology (IIT), which he completed between 2013 and 2014.13

Previous Work Experience

Before joining DoorDash, Arbaz's career path included:

  • Applications Engineer at Oracle (October 2014 - November 2015)
  • Backend Engineer at Everstring5

Expertise and Focus Areas

Arbaz specializes in:

  • Machine Learning Infrastructure
  • Scalability challenges in online model serving
  • End-to-end automation of ML feature deployment

He has been particularly involved in scaling online ML predictions to meet the growth demands of DoorDash's logistics engine and marketplace.4

Contact Information

Arbaz is based in Menlo Park, California, USA.3

Highlights

Building a Scalable ML Feature Store with Redis - DoorDash
Building a Scalable ML Feature Store with Redis - DoorDash

Related Questions

What projects has Arbaz Khan worked on at DoorDash?
How did Arbaz Khan contribute to the development of Fabricator at DoorDash?
What is Arbaz Khan's educational background?
What challenges has Arbaz Khan faced in his role at DoorDash?
How does Arbaz Khan's work impact DoorDash's logistics engine?
Arbaz Khan
Arbaz Khan, photo 1
Arbaz Khan, photo 2
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Experience

Software Engineer at DoorDash

Education

B.Tech-M.Tech. (Dual Degree) in Computer Science, Valedictorian, Batch of 2014 at Indian Institute of Technology, Kanpur

Location

Menlo Park, California, United States