Welcome to episode 384 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.

Today’s guest is Deedy Das, Founding Engineer at Glean in Palo Alto, CA. Founded in 2019, Glean are on a mission to bring people the knowledge they need to make a difference in the world.  Glean was founded by a seasoned team of former Google search and Facebook engineers, who wondered why we don’t have an easier way of finding what we need at work. In our personal lives, we have tools to help us find pretty much whatever we need. They wondered why don’t we have that at work and that was the beginning of Glean.

As an engineering leader at Glean, Deedy’s team works on Search & Intelligence problems which need dedicated end-to-end engineering thinking – indexing, processing, retrieval, ranking, serving, product – and power structured search (people, teams, customers, knowledge), chat search and code search. Prior to Glean, Deedy has been a Tech Lead at Google Search working on query understanding and the sports product in New York, Tel Aviv and Bangalore. Previously, he was also an engineer at Facebook in New York.

In the episode, Deedy will chat about:

The interesting work they do at Glean

Benefits they bring to customers compared to traditional consumer search

The day-to-day life of the engineering team

What attracted him to the company

Why Glean is a great place to work

What excites him for the future at Glean

To find out more about all the great work happening at Glean, check out the website www.glean.com or follow them on LinkedIn and Twitter @gleanwork. You can also connect with Deedy directly on LinkedIn and follow him on Twitter @debarghya_das. 

What did you think of Deedy’s podcast? Where do you see the future of AI and Data Science in the industry heading over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

Subscribe to The Alldus Podcast: