Suvadeep Hajra is a Research Associate and Prime Minister’s Research Fellow with nine years of experience at the intersection of machine learning and hardware security, currently affiliated with IIT Delhi after doctoral work at IIT Kharagpur. He develops deep learning and transformer-based models for hardware security, bringing strong foundations in optimization and linear algebra to adversarial and robustness challenges. His academic trajectory includes MS degrees from IIT Bombay and IIT Kharagpur and a BE from Jadavpur University, reflecting deep and sustained engagement with India’s premier engineering institutes. Suvadeep blends rigorous research methodology with applied model development, aiming to translate theoretical advances into practical security tools. Colleagues note his ability to connect low-level hardware threats with high-level learning architectures—a skill that makes his work both technically deep and practically relevant. Based in Kharagpur, he combines academic leadership with hands-on model engineering across ML, transformers, and security.
9 years of coding experience
Indian Institute of Technology Bombay
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Jadavpur University
Doctor of Philosophy - PhD, Machine Learning and Security, Doctor of Philosophy - PhD, Machine Learning and Security at Indian Institute of Technology, Kharagpur
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
Contributions:21 pushes, 5 branches in 4 months
deep-learningfinetuningtensorflowalexnet
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