Welcome!
    I completed my Ph.D. in Electrical Engineering at Washington University in St. Louis. During my doctoral research, I was supervised by Prof. Shantanu Chakrabartty at the Adaptive Integrated Microsystems Laboratory at WashU. My dissertation work focuses on developing new neuromorphic or brain-inspired machine learning algorithms and exploring biologically relevant neural dynamics in large-scale neural networks.
    I completed my M.S. in Electrical Engineering in 2017 from Washington University in St. Louis and my B.E. in Electrical Engineering in 2013 from Jadavpur University, Kolkata, India. My undergraduate thesis involved designing new computer vision algorithms using hand images to build a biometric authentication system.
    My research interests lie at the intersection of machine learning and neuroscience. I am passionate about bridging the energy and functional diversity gaps between humans and machines in cognitive applications.
Experience

  • Graduate Research Assistant (August 2014 - August 2021)
    •  Washington University in St. Louis, St. Louis, USA

  • Design Engineer (July 2013 - February 2014)
    •  Philips Electronics India Limited, Kolkata, India

  • Undergraduate Research Assistant (July 2012 - July 2013)
    •  Jadavpur University, Kolkata, India

  • Summer Intern (May 2012 - June 2012)
    •  Calcutta Electric Supply Corporation, Kolkata, India
    Technical skills

    Domain knowledge

    Machine learning, Neuromorphic computing, Computer Vision, Natural language processing, Optimization, Signal Processing, Statistical Modeling, Time-series analysis

    Programming

    Python, MATLAB, R, C/C++, SQL, HTML, CSS

    Libraries

    NumPy, SciPy, Pandas, Matplotlib, scikit-learn, NLTK

    Deep learning frameworks

    TensorFlow, Keras, PyTorch

    Cloud

    Google Cloud Platform, AWS

    Version control

    Git, SVN