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Apr 12, 2023 • 1h 17min

Episode 113: Data Applications, Real-Time Analytics, and Cloud Product Management with Shruti Bhat

Shruti Bhat leads product management and marketing at Rockset. Before Rockset, she led Product Management for Oracle Cloud, focusing on AI, IoT, and Blockchain. Previously, she was the VP of Marketing at Ravello Systems, where she drove the start-up's rapid growth from pre-launch to hundreds of customers and a successful acquisition. Before that, she was responsible for launching VMware's vSAN and led engineering teams at HP and IBM. Shruti has a bachelor's in computer science engineering and an MBA from UCLA Anderson.
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Apr 7, 2023 • 1h 49min

Episode 112: Distributed Systems Research, The Philosophy of Computational Complexity, and Modern Streaming Database with Arjun Narayan

Arjun Narayan is the co-founder and CEO of Materialize. Materialize is a streaming database for real-time applications and analytics, built on top of a next-generation stream processor – Timely Dataflow. He was previously an engineer at Cockroach Labs and held a Ph.D. in Computer Science from the University of Pennsylvania.
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Mar 24, 2023 • 55min

Episode 111: Astrophysics, Visualization Recommendation, and Scalable Data Science with Doris Lee

Doris Lee is the co-founder and CEO of Ponder, a startup delivering scalable, enterprise-ready pandas that improve the productivity of data teams. She graduated with her Ph.D. from UC Berkeley RISE Lab in 2021, where she developed data science tools to accelerate insight discovery.
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Mar 14, 2023 • 2h 6min

Episode 110: Wisdom in Building Data Infrastructure, Lessons From Open-Source Development, The Missing README, and The Future of Data Engineering with Chris Riccomini

Chris Riccomini, a data engineer with experience at PayPal and LinkedIn, discusses building data infrastructure, lessons from open-source development, and the future of data engineering. Topics include scaling Hadoop clusters, choosing big data solutions, strategies for early-stage startups, and the importance of running models and microservices on the same continuous delivery stack. Chris also talks about creating Apache Samza, evangelizing open-source projects, and the evolution of data infrastructure at WePay. The podcast explores mastering interviewing skills in data engineering hiring, building Apache SAMHSA, the evolution of Apache Airflow, designing principles of Apache Kafka, and the future of data engineering predictions and industry insights.
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Feb 21, 2023 • 1h 15min

Episode 109: Developer Productivity, Real-Time Data Infrastructure, and The Fat-Tailed Nature of Enterprise Software with Nnamdi Iregbulem

Nnamdi Iregbulem, a Partner at Lightspeed Venture Partners, is a self-taught programmer and lifelong technology nerd. His mission is to increase total software output by supporting entrepreneurs building technical tools for technical people. He focuses on investments in technical enterprise software such as developer tools, application infrastructure, and machine learning.
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Feb 16, 2023 • 1h 11min

Episode 108: Computer Vision, Product Management, and Enterprise Investing with Tom Rikert

Tom Rikert is the co-founder and CEO of Masterful AI, the training platform for computer vision that helps developers build models faster and with much less labeling. He is a former VC and invested in enterprise software and AI/ML at Andreessen Horowitz. Before VC, he held product management roles at Wildfire (acquired by Google), YouTube, and Autodesk. He began his AI/ML journey at MIT and started his career as an engineer at Silicon Graphics. Tom lives in the Bay Area with his wife and daughter and loves going fast, whether on a mountain bike or flying racing drones.
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Feb 10, 2023 • 57min

Episode 107: Investing At The Nexus of Computational Sciences with Grace Isford

Grace Isford is a Partner based in Lux Capital's New York City office. She invests in companies innovating at the nexus of the computational sciences – data, AI and ML infrastructure, network and compute infrastructure, and cutting-edge technological applications, especially in healthcare and financial services. She focuses on data and machine-learning startups that are hyper-personalizing user experiences and transforming legacy industries, as well as fintech and blockchain infrastructure companies building the next-gen developer stack and payment rails.
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Jan 4, 2023 • 1h 9min

Episode 106: Advancing AI Adoption with Dânia Meira

Dânia Meira has been a senior expert and mathematician in the data field since 2012, with a Data Science career in Berlin startups where her work focused on ML for predictive analytics. She is also an experienced teacher and mentor. Dânia is the Director of #datalift and a Founding Member of the AI Guild.
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Dec 20, 2022 • 1h 5min

Episode 105: Building The Next-Generation Spreadsheet, Being A Curious Analyst, and Engineering Entrepreneurship with Bobby Pinero

Bobby Pinero is the CEO and Co-Founder of Equals, a next-generation spreadsheet. He has worked in Finance, Analytics, and Data generally for the last few years. Previously he was the head of Finance and early employee number 8 at Intercom.
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Dec 9, 2022 • 59min

Episode 104: Streamlining Machine Learning In Production with Ran Romano

Ran Romano is the co-founder and VP of Engineering at Qwak, where he is focused on building the next-generation ML infrastructure for ML teams of various sizes. Before Qwak, Ran led the Data and ML engineering groups at Wix.com - where he built Wix's internal ML Platform. Previous to that, he was a Technical Product Manager at the Israeli Intelligence corps.

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