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Our guests have done most of their ML work on AWS offerings, from AWS Personalize for their initial recommendation engine to SageMaker for model training and de…
John explains that Web3 is about the convergence of technology, economics, and social trends. He elaborates that foundations begin with service-based architectu…
Katzgraber reflects on his time as a university professor up until 2020 and why he switched to working at Amazon. He walks us through a quantum computing challe…
The group laughs about setting up JIRA workflows and Trello boards for our family lives—Matt says heck no. Ceora speaks to the power of homelabbing as a way to …
Episode notes: The team questions whether a print out of 60-90 days worth of code is the right benchmark for whether to lay someone off. Ben gives our podcast l…
Eric explains that great jobs are available for developers in Japan, but it can be tough to find these opportunities. We talk about interesting startups that ar…
Cami and Cassidy take us down memory lane, sharing how they got into computer science together, hosted a web series (and still podcast together sometimes ), and…
Srivastava reflects on his upbringing in India, learning to write Assembly, and going to Stanford University to complete his Ph.D in computer science. He shares…
Data show's Silicon Valley's share of new startup funding deals dropped below 20% for the first time. What does it mean to experiment with big changes to an eng…
You can learn more about Andrew, from building out a telco in Canada to cyber security at Deloitte, on his LinkedIn . Validation Cloud bills itself as the world…
