“Creativity is intelligence having fun!”
~ Albert Einstein
~ Albert Einstein
My journey in the realm of machine learning began at the esteemed Indian Institute of Technology (IIT) Patna, where I earned my master's degree in Mathematics and Computing. Currently, I am proud to be affiliated with the Research Institute CODE (Cyber Defence and Smart Data) at Universität der Bundeswehr München, where I am actively engaged in the exciting EU project MAMMOth and STELAR. Furthermore, I'm pursuing my PhD. on Fairness-aware Machine Learning, from Freie Universität Berlin. My expertise spans a wide array of domains within machine learning, including FairML, Multi-task Learning, Multi-objective Learning, Deep Reinforcement Learning, Multi-modal Learning, Federated Learning, and Natural Language Processing. I thrive on exploring the intricate nuances of these domains and pushing the boundaries of innovation to develop robust and scalable solutions. Aside from research, I also work as a Teaching Assistant for the course Artificial Intelligence at the University of Bundeswehr.
Deep Learning & ML: PyTorch, Keras, Tensorflow, Scikit-Learn, NLTK.
Programming Languages: Python, C, C++, Java, SQL, HTML, JavaScript, Android.
Desktop Publishing: LaTeX, BibTeX, Microsoft Office, LibreOffice.
2021 - Present
PhD. in Machine Learning
Tentative thesis: Multi-criteria of Fairness-aware Machine Learning
Supervisor: Prof. Dr Eirini Ntoutsi
Department of Mathematics & Computer Science, Institute of Computer Science, Freie Universität Berlin
2017 - 2019
MTech in Mathematics & Computing
Supervisor: Prof. Dr Pushpak Bhattacharyya, Dr Asif Ekbal, Prof. Dr Stefan Dietze
Department of Mathematics, Indian Institute of Technology, Patna
2013 - 2016
Masters in Computer Application
Thesis: Online Journal Management
Supervisor: Assoc. Prof. Shalabh Agarwal
Department of Computer Science, St. Xavier's College, Kolkata