Pros: Good culture, nice benefits (free transportation), good pay, a good tool stack, and education.

Cons: Be prepared to work a lot.

Pros: Great team and a very fast environment. I learned a lot.

Cons: It was hard to ramp up on some of the technologies. There was lots of wiki reading and design documentation.

Pros: Awesome Experience. Got assigned a team where I was the first SDE. Got to learn a lot and explore many technologies. My manager gave me the freedom to choose any technology stack I wanted. I was given so much ownership of various projects during my internship, and all of the projects were awesome. Being an ML-oriented team with many Applied Scientists and Data Scientists on the team, I got to learn a lot from them about Deep Learning and ML in general. We had ML sessions in the team every Friday, where any one of the members would come up and explain some concepts of ML, and also some sessions had hands-on activities. Had various team outings during my 6-month internship, which included dinners, lunches, an IPL match in the stadium, resort outings, etc. Work-Life Balance was also awesome. There were hardly 1-2 days in a month where I spent overtime from 11:00 AM to 7:00 PM.

Cons: The only con was related to facilities. There was no free food or perks like in other companies such as Google or Microsoft. Everything else apart from this is awesome.