Startup

Datacast Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar

Datacast Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar

Carlos Aguilar is the Founder and CEO of Glean, a data visualization company based in New York City.

He grew up in Washington, DC, where he started tinkering with robots and websites early on and fell in love with the intersection of art and technology. At Cornell, he studied Mechanical Engineering and robotics and did research in machine learning applications in robotics and art. In 2009, he joined an early robotics startup called Kiva Systems, where he got deep into data and analytics.

After Kiva was acquired by Amazon, Carlos joined Flatiron Health and worked on data products to help cancer centers and cancer researchers. As the head of the Data Insights team, Carlos grew the team to 25 people who helped launch dozens of data products and supported Flatiron's core data infrastructure.

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

Datacast 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.

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

Datacast 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.

Datacast Episode 101: Scaling Data Engineering, Building Data Teams, and Managed Data Stack with Tarush Aggarwal

Datacast Episode 101: Scaling Data Engineering, Building Data Teams, and Managed Data Stack with Tarush Aggarwal

Tarush Aggarwal is one of the leading experts in leveraging data for exponential growth, with over ten years of experience in the field.

After graduating with a degree in Computer Engineering from Carnegie Mellon in 2011, he became the first data engineer on the analytics team at Salesforce.com. Data was in its infancy, and the log metric framework he built was critical in allowing Salesforce to analyze data across customers and provide benchmarks across different industries and verticals.

Most recently, Tarush led Data for WeWork. WeWork leveraged data to grow 10x in 3 years, supporting a footprint of 800+ offices in 120+ cities in 23+ countries with over 12,000 employees, making WeWork one of the fastest-growing companies in the world. He scaled the data org from 2 to 100+, and their unique approach allowed them to stay lean while supporting every functional area of the business. In 2019, he moved to China to help establish WeWork’s Asia operations and focus on the hyper-growing Chinese market.

Datacast Episode 100: Data-Centric Computer Vision, Productizing AI, and Scaling a Global Startup with Hyun Kim

Datacast Episode 100: Data-Centric Computer Vision, Productizing AI, and Scaling a Global Startup with Hyun Kim

Hyun Kim is the co-founder and CEO of Superb AI, an ML DataOps platform that helps computer vision teams automate and manage the entire data pipeline: from ingestion and labeling to data quality assessment and delivery. He initially studied Biomedical Engineering and Electrical Engineering at Duke but shifted from genetic engineering to robotics and deep learning. He then pursued a Ph.D. in computer science at Duke with a focus on Robotics and Deep Learning but ended up taking leave to further immerse himself in the world of AI R&D at a corporate research lab. During this time, he started to experience the bottlenecks and obstacles that many companies still face to this day: data labeling and management were very manual, and the available solutions were nowhere near sufficient.

Datacast Episode 98: Building Developer Tools, Managing Platform Products, Fostering Diversity, and Enabling Real-Time Data Applications with DeVaris Brown

Datacast Episode 98: Building Developer Tools, Managing Platform Products, Fostering Diversity, and Enabling Real-Time Data Applications with DeVaris Brown

DeVaris Brown is the CEO and co-founder of Meroxa, a VC-backed company enabling teams of any size and level of expertise to build real-time data pipelines in minutes, not months.

Prior to founding Meroxa, DeVaris was a product leader at Twitter, Heroku, VSCO, and Zendesk. When he’s not sitting in front of a computer, you can find DeVaris behind a camera capturing moments in time, at the stove whipping up the finest delicacies, or behind a set of turntables, moving a sea of people through music.

Datacast Episode 97: Escaping Poverty, Embracing Digital Learning, Benchmarking ML Systems, and Advancing Data-Centric AI with Cody Coleman

Datacast Episode 97: Escaping Poverty, Embracing Digital Learning, Benchmarking ML Systems, and Advancing Data-Centric AI with Cody Coleman

Cody Coleman is the Founder and CEO of Coactive AI. He is also a co-creator of DAWNBench and MLPerf and a founding member of MLCommons. His work spans from performance benchmarking of hardware and software systems to computationally efficient methods for active learning and core-set selection. He holds a Ph.D. in Computer Science from Stanford University, where Professors Matei Zaharia and Peter Bailis advised him, and an MEng and BS from MIT.

Datacast Episode 94: Modern Metadata Management, Open-Source Adoption, and Early-Stage Culture with Mars Lan

Datacast Episode 94: Modern Metadata Management, Open-Source Adoption, and Early-Stage Culture with Mars Lan

Mars Lan is the co-founder and CTO of Metaphor Data, a startup that offers a Modern Metadata Platform to solve many complex organizational data challenges, such as data discovery and data governance. He also co-created the popular open-source project DataHub while working as the Tech Lead of the metadata team at LinkedIn. Mars received his Ph.D. in Computer Science from the University of California, Los Angeles.

Datacast Episode 93: Open-Source Development, Human-Centric AI, and Modern ML Infrastructure with Ville Tuulos

Datacast Episode 93: Open-Source Development, Human-Centric AI, and Modern ML Infrastructure with Ville Tuulos

Ville Tuulos has been developing tools and infrastructure for data science and machine learning for over two decades. At Netflix, he led the machine learning infrastructure team. Currently, he is the CEO and co-founder of Outerbounds - where he’s building the modern, human-centric ML infrastructure stack, continuing the open-source product called Metaflow that he developed and managed during his Netflix days.

Datacast Episode 91: Collaborative Data Workspace, The Sharing Gap, and Engineering Management with Caitlin Colgrove

Datacast Episode 91: Collaborative Data Workspace, The Sharing Gap, and Engineering Management with Caitlin Colgrove

Caitlin Colgrove is the Co-Founder and CTO of Hex Technologies, a collaborative data workspace for building and sharing data projects using SQL and Python. Caitlin has spent her career as a software engineer building data analytics tools, first at Palantir and then later at startups including Remix and Hex. As a CTO, her focus has expanded from purely technology to growing and developing diverse and inclusive engineering teams.