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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
