Abnormal Engineering Stories, Episode #9: Productionizing Machine Learning
In episode 9 of Abnormal Engineering Stories, Dan sits down with Mukund Narasimhan to discuss his perspective on productionizing machine learning.
As an engineering leader at many of the world's most important tech companies, Mukund Narasimhan understands the ebb and flow of technological trends.
Computation and information have become increasingly embedded into society. In turn, the volume of data that we produce, and the computational power of the machines we use, have increased as well. Machine learning algorithms now play a role in almost every aspect of everyday life. Mukund's experience spans many of these applications, from forecasting to recommendations to trust/safety.
In this episode, Mukund draws upon his experiences at companies like Airbnb, Pinterest, Facebook, Google, Amazon, and Microsoft to share his perspective on productionizing machine learning. Mukund and I discuss:
How machine learning as a serious engineering discipline has evolved over the past decade
The biggest problems that machine learning needs to solve to reach new industries
The kinds of changes we can expect to see in the future