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Priyadip Sau

Priyadip Sau

M.Tech AI student · ML & GenAI enthusiast

priyadip-sau
Jodhpur, Rajasthan, India
62 connections
Joined March 2026
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Summary

Bridges rigorous mathematical training and applied machine learning: Priyadip has multiple degrees in mathematics (B.Sc., M.Sc.) and is pursuing an M.Tech in Artificial Intelligence, positioning him to apply strong mathematical foundations to ML and AI problems. priyadipsau+2
Focus on foundation models and efficient fine-tuning: He actively works with foundation models, parameter-efficient fine-tuning (PEFT), and generative AI, and maintains models and Spaces on Hugging Face reflecting those interests. huggingface+1
Emphasis on reproducible, open-source ML engineering: Priyadip publishes code and reproducible experiments (e.g., a CIFAR-10 ResNet stress-test) on GitHub and shares accompanying documentation and reproducibility guidance. github+1
Active educator and communicator: He has experience as a math teacher and as a teaching assistant, and creates recorded lectures and educational content to explain complex topics in neural networks and deep learning. priyadipsau+1

Work

Education

Projects

Writing

When Bigger Models Generalize Better: The Double Descent Phenomenon

June 1, 2026

A LinkedIn article discussing the double descent phenomenon and how larger models can sometimes generalize better.

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Hobbies

Educational content creation and teaching (YouTube lecture recordings and course materials). youtube+1