About

Arbaz Khan is a seasoned software engineer with a strong background in machine learning and natural language processing. He is currently working at DoorDash as a Software Engineer, ML Infrastructure, where he is building a gigascale ML feature store with Redis. He is also involved in building computational graphs to enable developing ensembles across multiple open-source frameworks, and has worked on improving model serving latencies with gRPC. Prior to joining DoorDash, Arbaz worked at Roam Analytics (acquired by Parexel) as a Machine Learning Platform Engineer, where he led the team in building model-serving infrastructure for NLP models, including an auto-scaling cluster of 50+ deep-learning models. He also built the model deployment lifecycle from the ground up, enabling push-button deployment of ML models. At EverString (acquired by ZoomInfo), he served as a Backend Engineer, where he led the design and development of a distributed LSH-based lookalike expansion model over 12 million companies spanning 20k features to return nearest neighbors in real-time. Arbaz's educational background includes a Master of Technology in Computer Science from IIT, where he focused on machine learning, as well as a Bachelor's degree in Computer Science. He has over 8 years of relevant experience and is skilled in ML, software engineering, infra, Redis, NLP, AI, backend, and ETL. Arbaz is always interested in opportunities to broaden his hands-on experience and get exposure to working on challenging problems. He is a proactive problem solver who enjoys working collaboratively with others to achieve common goals.