Resume
PhD Scholar in Machine Learning Security with experience in ML model security, adversarial attacks, and industry software development.
Education
Ph.D. in Machine Learning Security
2021-PresentIIIT-Delhi
Research focus on security of ML models, model extraction, and adversarial attacks. CGPA: 9.29/10
B.Tech in Computer Science and Engineering
2014-2018Thapar University
CGPA: 8.35/10. Capstone: Image Generation from Text Using GANs
Research Experience
Research Intern
2024National Institute of Informatics (NII), Tokyo
- • Conducted research on adversarial machine learning and model security
- • Explored adversarial transferability with model extraction attacks
- • Collaborated with international researchers on security projects
Industry Experience
Senior Software Engineer
2020-2021Samsung Research Institute, Bengaluru
- • Led development of Bixby Text-to-Speech (TTS) module
- • Managed weekly updates and feature additions to the TTS pipeline
- • Collaborated with cross-functional teams for voice assistant improvements
Software Engineer
2018-2020Samsung Research Institute, Bengaluru
- • Developed Bixby NLG module
- • Integrated SOTA TTS solutions like Tacotron2 for Indian voices
- • Implemented voice customization features
Technical Skills
languages
Python
C++
C
frameworks
TensorFlow
PyTorch
Scikit-learn
NumPy
Pandas
areas of_expertise
Machine Learning
Deep Learning
ML Security
Adversarial ML
Natural Language Processing