Priority DM

Priority DM
Replies in 2 days
Priority DM
FREE

Have a question?

Priority DM
Replies in 2 days
Priority DM
FREE

Quick chat

Video Meeting
30 mins
Video Meeting
$11

Mock interview

Video Meeting
60 mins
Video Meeting
$ 22$18

Ask me anything

Priority DM
Replies in 2 days
Priority DM
FREE
5

Resume review

Video Meeting
30 mins
Video Meeting
$8

Interview prep & tips

Video Meeting
30 mins
Video Meeting
$11
5Popular

1:1 Mentorship

Video Meeting
30 mins
Video Meeting
$ 26$22

Ratings and feedback

5/5
2 ratings
2
Testimonials
5/5
I had a resume review session with Nikhil. He is patient did touch up every section of my resume providing best possible changes that can help enhance my resume for Job applications.
5/5
Nikhil's humility, kindness, and wealth of knowledge have made him an invaluable mentor. He generously offers insights and suggestions to help me enhance my profile, and I couldn't be happier to have found such a mentor.

About me

I'm Nikhil, an AI Research Scientist currently immersed in the dynamic world of LG Toronto AI Research Lab. With more than five years of alignment with industry, I've been fortunate to contribute to cutting-edge innovations. My academic journey includes a master's from the prestigious University of Toronto, which I completed in December '22. Prior to that, I spent over two years as a dedicated Software Developer in India. This role enriched me with the opportunity to create and deploy responsive AI systems that ventured into the realm of real-world production. Additionally, I nurture a tech blogger persona as a platform to share my insights and experiences. My current research endeavors revolve around the realms of Generative AI models like Diffusion and Large Language Models (LLMs). Furthermore, I'm deeply intrigued by Vision-Language Pre-training, particularly through the lens of frameworks like CLIP. My exploration spans across diverse facets of Conversation AI, including the art of aligning LLMs with human feedback, the delicate process of quantizing LLMs for deployment, and the development of scalable LLMs engineered to handle extended context inputs.