Summary
Sanjay Chandlekar is an Applied AI/ML engineer and researcher with nine years of experience, holding a PhD from IIIT Hyderabad and currently building fraud-detection models at J.P. Morgan Chase. He blends deep learning, reinforcement learning and representation learning to operationalize robust AI in finance, having earlier applied GNNs, Transformers and MCTS to accelerate drug discovery at Aragen. At TCS Innovation Labs he led agent-based energy market work—VidyutVanika—which twice won the international PowerTAC smart-grid tournament, reflecting a knack for practical, competitive multi-agent systems. His academic record includes multiple A* conference publications (IJCAI, AAMAS) on game-theoretic auction design and demand response, and he has mentored ML professionals in DL and GenAI. Comfortable moving ideas from theory to production, he brings domain breadth across finance, energy and life sciences and a proven track record of turning complex research into impactful systems.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Technology, Information Technology, Bachelor of Technology, Information Technology at Nirma University
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at International Institute of Information Technology Hyderabad (IIITH)
English, Gujarati, Marathi, Hindi