Rohit Gandikota

Graduate Research Assistant

Boston, Massachusetts, United States
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Summary

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Rockstar
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Top School
Rohit Gandikota is a Ph.D. candidate at Northeastern University specializing in interpretable and controllable generative AI, with eight years of experience building and deploying neural networks at scale. His research blends causal interventions and concept erasure to align models with human values, producing methods that can permanently remove harmful or copyrighted concepts from diffusion models without retraining. Before his Ph.D. he pioneered data-hiding in generative models—work that won India’s Best Innovative Computer Science Thesis—and built the first deep generative model in production at ISRO, enabling real-time flood monitoring and dramatically accelerating satellite image production. He has contributed to top venues (ICCV, BMVC, IGARSS), interned at Adobe and Wayfair on user-facing generative controls, and collaborated with MIT and Technion on unified concept editing. Comfortable across research and production stacks (PyTorch, TensorFlow, GCP, Docker, Kubernetes), he aims to create an “atlas of AI” that maps model capabilities, relationships, and vulnerabilities to make systems safer and more transparent.
code8 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Interpretable Generative AI (Advisor: Prof. David Bau), Doctor of Philosophy - PhD, Interpretable Generative AI (Advisor: Prof. David Bau) at Northeastern University
bookBachelor of Technology - BTech, Electronics and Communications Engineering (Specialization in Avionics), Bachelor of Technology - BTech, Electronics and Communications Engineering (Specialization in Avionics) at Indian Institute of Space Science and Technology
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Github Skills (27)

diffusion-models10
generative-adversarial-network9
spectrogram9
data-hiding9
loss-functions9
generative-model8
python8
backend8
pytorch8
audio-processing7
stable-diffusion7
ai7
flux7
audio7
deep-learning6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Generative Models to hide Audio inside Images using custom loss functions and Spectrogram Analysis
Contributions:6 commits, 5 pushes, 1 branch in 2 years 1 month
audiogenerative-modelloss-functionsspectrogramaudio-processing
Contributions:15 commits, 14 pushes, 1 branch in 1 day
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