NYU

Datacast Episode 121: High-Performance Processing Engine, Modern Data Streaming, and Propelling Minority in Tech with Alex Gallego

Datacast Episode 121: High-Performance Processing Engine, Modern Data Streaming, and Propelling Minority in Tech with Alex Gallego

Alexander Gallego is the founder and CEO of Redpanda Data, a high-performance, Apache Kafka-compatible data streaming platform for mission-critical workloads. He has spent his career immersed in deeply technical environments and is passionate about finding and building solutions to the challenges of modern data streaming.

Before Redpanda, Alex was a principal engineer at Akamai and the co-founder and CTO of Concord.io, a high-performance stream-processing engine acquired by Akamai in 2016. He has also engineered software at Factset Research Systems, Forex Capital Markets, and Yieldmo; and holds a bachelor’s degree in computer science and cryptography from NYU.

Datacast Episode 81: Research, Engineering, and Product in Machine Learning with Aarti Bagul

Datacast Episode 81: Research, Engineering, and Product in Machine Learning with Aarti Bagul

Aarti Bagul is a machine learning engineer at Snorkel AI. Before Snorkel, she worked closely with Andrew Ng in various capacities: (1) at AI Fund helping build ML companies from scratch internally and investing in ML companies, (2) as an ML engineer at his startup Landing AI, (3) as head TA for his deep learning class CS230, and (4) as an assistant in his research lab at Stanford.

Aarti graduated with a master’s in Computer Science from Stanford, where she participated in the Threshold Venture and Greylock X fellowships. Before Stanford, she got her bachelor’s in Computer Science and Computer Engineering from NYU with the highest honors. During her time at NYU, she worked in David Sontag’s lab on machine learning applications to clinical medicine and at Microsoft Research as a research intern for John Langford (where she contributed to Vowpal Wabbit, an open-source project).