Mentorship Plan
Not available
No spots left, but you can save the mentor to your wishlist to get notified about their open spots!
What's included in the trial?
Every trial is a little different—here’s what Tushar says about their trial:
We'll meet for a quick call (usually under 30 minutes) where we:
- Break the ice and introduce ourselves
- Discuss your goals and how I can support you
- Coordinate logistics like time zones, meeting frequency, and communication methods
Hey there! I’m Tushar, and I’m currently working as Sr Applied Scientist at Amazon Search with the M5 team. My main focus is on building foundational models like Amazon Titan and serving LLMs at scale through AWS Bedrock. Recently, I’ve also worked on developing multimodal LLMs and embeddings that improve search, ads, and CTR at Amazon—some of these efforts are predicted to drive a lift of $48.7MM in OPS!
Before Amazon, I spent time as a Research Engineer and then Research Scientist at Verisk Analytics, where I tackled exciting challenges like using active learning to accelerate LLM training by 2.5x, working on Document Intelligence tasks (ACL 2023), and contributing to vector-quantized normalizing flows (UAI 2022).
I also have a research background from NYU, where I worked with professors like Yann LeCun on reinforcement learning agents for text-based games, and Rob Fergus on multi-agent communication in reinforcement learning (ICLR 2019).
Looking forward to connecting and learning together!
Notify me when Tushar has new spots
We will send you a quick email if Tushar has new open spots for mentorship, and only in that case!
Book a free intro call with Tushar
Connect with Tushar in a quick call (usually under 30 minutes)
