Shagun Sodhani

Tech Lead @ Meta
Machine Learning at Meta
Canada 5.0 (11 reviews) Active this month Usually responds in a few hours
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About

I am a tech lead at FAIR (AI research at Meta), where I lead a team of researchers to train large-scale foundation models for multimodal data. My day-to-day work involves research, engineering, and partnering with different stakeholders. I have mentored dozens of engineers, researchers, and students and also have been a teaching assistant for machine learning and data science courses.

I could help you with the following:
(i) creating a goal-driven learning plan
(ii) provide feedback on the quality of code or resume
(iii) act as a sounding board - for both technical and career-related discussions
(iv) going through Python frameworks like PyTorch, Scikit-learn, numpy, etc. - either in the "getting started" mode or the "deep dive" mode.
(v) Explain complex topics like system design

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What mentees say

Neha

Neha

5 out of 5 stars

Lite Plan · 
4 months

Shagun is great! I had to pause the mentorship due to health reasons but in my short time consulting him, he was really responsive and provided me with great advice and guidance. He was also very attentive to the specific needs I had and pointed me to resources tailored to me. I look forward to working with him again!

Neha wrote 1 more review for the same mentorship
Neha

Neha

5 out of 5 stars

Wayne

Wayne

5 out of 5 stars

My first session with Shagun was great. I came in with a surface-level understanding of deep reinforcement learning from random readings and experiments. He was able to quickly tune his mentoring to my knowledge. He gave quickly grok-able metaphors to help me understand the difference between RL algorithms. And I could tell he could go much deeper. He took notes during the session, which he shared, along with follow up links, for me to dive deeper and explore. I highly recommend.

Moutasem

Moutasem

5 out of 5 stars

Lite Plan · 
1 month

I approached Shagun on Mentor Cruise with the aim of deepening my understanding of PyTorch and the broader field of deep learning. My motivation stemmed from a desire to apply these technologies in my projects. From the outset, Shagun demonstrated not just an impressive command of PyTorch and deep learning principles, but also an exceptional ability to teach them. Our collaboration was marked by a tailored approach, where he took the time to understand my learning style and objectives. Shagun broke down complex concepts into digestible segments, making the learning process both enjoyable and highly effective. One aspect I particularly appreciated was Shagun's commitment to practical application. He is guiding me through a hands-on project that were directly aligned with my goals, providing invaluable insights and tips along the way. While it is still early in my mentorship with Shagun, I am already seeing the benefits. His guidance is proving to be invaluable, and I am eagerly looking forward to continuing my learning journey under his mentorship. I highly recommend Shagun to anyone who is starting or looking to deepen their understanding in this field. In summary, Shagun is a phenomenal mentor whose expertise in PyTorch and deep learning is matched by his ability to teach and inspire. I highly recommend him to anyone looking to advance in this field.

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