Debarghya (Deedy), currently a Founding Engineer at a Stealth Startup is a computer science graduate from Cornell University. He has previously worked and interned at Google, Facebook and Coursera. In this podcast we talk about various computer science roles in industry: research, software engineering, product management, and doing a PhD or not.
00:02:06 Deedy's background
00:03:00 Details about his work at Stealth startup as a founding engineer
00:04:00 Why did he shift from working at Google to a young startup? Things to know about big vs small companies
00:08:50 Factors to know before choosing between working at big & small company
00:13:15 Choosing between Ph.D and industry
00:18:10 Is Ph.D required for certain research roles as mandatory?
00:22:00 How and when did you get started with Machine Learning?
00:25:00 Difference between theoretical and practical aspects on Machine Learning, implementation vs theory
00:31:10 What did you work on at Google, Facebook and Coursera?
00:35:00 What teaches you most about ML, academia or industry?
00:38:30 Interviewing for Machine Learning roles, expectations and skill-sets required
00:46:00 How can a CS engineer apply for Product Manager (PM) roles, things to know and learn
00:56:15 Lines are blurred between an engineering manager vs product manager roles most of the times
00:57:20 What are trends in ML, in young startups vs big companies
01:04:40 General tips to any computer science student about learning and achieving goals