Bio

• 5+ years of experience in prototyping and productising tools for core ML research. Tech lead for developing ML solutions for multiple sectors including automotive, energy and healthcare. • Passionate about building trustworthy AI systems with security and privacy guarantees with research interests in federated learning (FL), adversarial machine learning, and bayesian inference. • Published work at top AI/ML conferences, filed multiple US patents, reviewer for conferences (ICLR, NeurIPS, ICML), and a contributor to open source software like Adversarial Robustness Toolbox and IBM-FL. • Actively involved in both local and international efforts both within and outside IBM to improve community engagement, foster collaborations and help with dissemination of research work to reinforce the principles of trust and responsible research.