MLOps Weekly Podcast

This week on the MLOps Weekly Podcast, Simba chats with Doris Xin, Co-founder and CEO of Linea, about the importance of notebooks in the data science workflow, choosing the right abstractions when going from development to production, and embracing the chaos of development in the MLOps lifecycle.

About Doris:

Doris Xin is the CEO of Linea, an MLOps startup on a mission to build developer tools that empower data scientists and enable organizations to generate value rapidly with data.

Doris received a PhD in Computer Science from UC Berkeley. Her thesis focused on designing machine learning systems for developer productivity, research inspired by her experience as a machine learning engineer at LinkedIn. Her career includes engineering and research roles at Databricks, Google, LinkedIn, and Microsoft.

LineaPy (Github, Twitter, Linkedin)

This week on the MLOps Weekly Podcast, Simba sat down with Silicon Valley veteran and Chief Strategy Officer at DataStax, Sam Ramji to discuss the origins and success of DevOps, data computation vs cognition, & the importance of community-driven product development in MLOps.

This week on the MLOps weekly podcast, Simba spoke with Bob van Lujit, CEO and Co-Founder of SeMi Technologies, creators of the open-source vector database, Weaviate. They discuss the power of embeddings in machine learning and the infrastructure needed to utilize them properly in production.

Bob's Bio: Bob is the CEO and co-founder of SeMI Technologies, the business created around the open-source vector search engine Weaviate. He is a frequent speaker on open-source, digital technology, software business, and business philosophy. In addition to a TEDx talk, Bob has spoken worldwide at 100s of events on open source, business strategy, and start-ups.

Back from summer break with installment 9 of the MLOps Weekly Podcast! This week, Simba met with Senior Staff Software Engineer at LinkedIn's Machine Learning Infrastructure team, David Stein, to discuss the technical decisions and insights that led to LinkedIn's Feature Store, Feathr, and the importance of thoughtful API design when building MLOps workflows.

For the 8th installment of the podcast, Simba sits down with Stefan Krawczyk, who led the Model Lifecycle team at Stitchfix and has worked on data science teams at Linkedin and Nextdoor, to discuss his thought process when designing and deploying MLOps solutions.

Links for listeners: - my class: https://www.getsphere.com/ml-engineering/mastering-model-deployment-and-inference?source=Instructor-LinkInPost-080222-stefan_mlopsweekly_podcast - Hamilton: https://github.com/stitchfix/hamilton - Fresh blog that helps complement the content in the podcast - https://multithreaded.stitchfix.com/blog/2022/08/02/configuration-driven-ml-pipelines/

For week 7 of the MLOps Weekly Podcast, Simba sat down with Nirman Dave, Co-founder and CEO at Obviously AI, to discuss the practical and operational benefits of AutoML in production.

This week, Simba sat down with James Alcorn, Principal at Zetta Ventures, to discuss signals of success in MLOps platforms and his assessment template for MLOps founders.

This week, Simba sat down with Co-Founder and CEO of BentoML, Chaoyu Yang, to discuss various sub-categories of MLOps providers, the prevalence of open-source platforms, and what advanced MLOps solutions should look like.

Music provided by Chroma Sea: https://open.spotify.com/artist/4UEQ4gyve4UpoAGUgV816o

For our fourth episode, we sat down with Sam Partee, Principal Applied AI Engineer at Redis, to discuss the evolution of data tools in MLOps and their ideal future.

In this week's episode, we sit down with Leigh Marie Braswell, Principal at Founders Fund, to discuss her experience as a PM at Scale AI, her transition from an MLOps practitioner to an investor, and her thoughts on the future of MLOps.