Our guest today is Santiago Valdarrama, Director of Computer Vision at Levatas and founder of Bnomial.

In our conversation, we first talk about Santiago's transition from software engineering to the world of machine learning. He explains how he got into AI and why software engineering skills are important when working as a Data Scientist / ML engineer.

We then dig into computer vision at Levatas, a company which develops solutions for automating and scaling visual inspection. Santiago walks us through different machine learning projects that he worked on, summarises the latest advances in computer vision and shares his thoughts on the future of the field.

We finally talk about Bnomial, a website created by Santiago which posts one machine learning questions every day. Santiago explains the importance of building good habits and shares advice on how to progress in your career.

If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.

Follow Santiago on LinkedIn: https://www.linkedin.com/in/svpino/
Follow Santiago on Twitter: https://twitter.com/svpino
Subscribe to Santiago's Youtube channel: https://www.youtube.com/c/Santiagox0
Answer one machine learning question every day on Bnomial: https://today.bnomial.com/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/

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(00:00) : Intro. 

(03:45) : How did you get into the field ? 

(07:53) : Example of problems solved using AI. 

(12:47) : Software engineering skills for Data Scientists / ML engineers.

(20:08) : Computer vision at Levatas.

(28:16) : Management. 

(31:43) : Common mistakes made by Data Scientists / ML engineers.

(42:00) : Computer vision & the future of the field.

(47:55) : Bnomial.

(58:57) : One advice to progress in your career.