Background
Interest
My passion is to bring machine learning to a practical level where it is a product that solves challenging problem for people. My major interests are in the domain of machine learning, deep learning, reinforcement learning and control systems.
Work Experience
Cogent Labs, Japan (May 2022 - Present)
- Senior Machine Learning Scientist
- TBU
NEC Corporation, Japan (October 2019 - Present)
- AI Researcher, Global Innovation Unit
- Designed and implemented a novel Reinforcement Learning and Deep Learning based state-of-the-art automated negotiating agent framework with an average performance improvement of 25%. Paper
- Collaborated with The National Institute of Advanced Industrial Science and Technology, Japan (AIST) for research and design of automated negotiation protocols, strategies and value function for various domains.
- Reviewed and edited Business Requirement Specifications (BRS) and Implementation guidelines of eNegotiation project for The United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT) as an expert member. Public Review
- Developed an automated negotiating agent using NegMAS framework for Supply Chain Management League of Automated Negotiating Agents Competition 2020 (ANAC 2020) and secured the 2nd position. Competition Home
Indian Institute of Technology Bombay, India (July 2016 – June 2019)
- Research Assistant, Control and Computing Lab
- Proposed and implemented a novel algebraic solver for solving boundary control problem of real world applications governed by partial differential equations. Paper
- Implemented algorithms for checking potential solution spaces of PDEs using Python and SageMath for “Algebraic Solver of PDEs” project funded by Ministry of Science and Technology, India. Project Page
Education
- M.Tech. in Control and Computing, Indian Institute of Technology Bombay (2016-2019)
- B.E. in Electrical Engineering, Indian Institute of Engineering Science and Technology, Shibpur (previously BESU, Shibpur) (2011-2015)
Courses
Foundations of Machine Learning, Advanced Machine Learning, High Performance Scientific Computing, An Introduction to Number Theory and Cryptography.
Applied Linear Algebra, Multivariable Control Systems, Optimal Control Systems, Matrix Computations, Nonlinear Dynamical Systems.
Statistical Signal Analysis, Commutative Algebra, Applied Mathematical Analysis in Engineering.