Tathagata Bandyopadhyay

I am a research engineer in the broad domain of Deep Learning and Generative AI. I have recently passed MSc. in Informatics with distinction from Technical University of Munich (TUM), Germany with a focus on Deep Learning, Computer Vision and Scientific Computing. Neural networks are universal function approximation tools and thus I am open to work on any research domain involving deep neural networks in some form.

At TUM I was advised by Prof. Dr. Matthias Niessner from Visual Computing and AI Lab for my master's thesis on 3D Neural Parametric Head Models. Other than thesis, I have also worked on several other deep learning research problems including semi-supervised learning, knowledge distillation, target speaker extraction, music retrieval or cover song identification, neural object relighting, and so on using Python and PyTorch.

Research interests:
Autoencoders, Diffusion models, GANs, 3D reconstruction, Computer Vision, Large Language Models, Transformers, Topological Deep Learning, Brain computer interface.

Email  /  CV  /  Google Scholar  /  Linkedin  /  Github

profile photo
Love to collaborate on research projects. Feel free to reach out :)


Research / Publications



Education

Technical University of Munich, Germany

October 2019 - March 2024
Master of Science in Informatics.
Passed with Distinction 🎓
Teaching Assistant for Introduction to Deep Learning, Apr 2021 - Sep 2022

Kalinga Institute of Industrial Technology, Bhubaneswar, India

August 2013 - May 2017
Bachelor of Technology in Computer Science & Engineering.
Founder's all rounder Gold Medal receiver 🏅




Work Experience

Siemens (Technology R&D), Munich, Germany

March 2023 - September 2024
Working Student Researcher
Python | LLMs | Langchain

Dell Technologies, Bangalore, India

July 2017 - September 2019
Software Engineer
C# .Net | Rest APIs | Agile | TDD | CI-CD





Website design and source code adapted from Jon Barron's website.