I am a Researcher/Ph.D. student at STI Innsbruck, Department of Computer Science, University of Innsbruck. My Ph.D. thesis focuses on the use of Neurosymbolic AI to enhance the process of automated decision-making. My dissertation explores how to use various technologies such as machine learning, deep learning with semantic technology to provide scalable, efficient, interoperable solutions in an industrial context to enhance the automated decision-making process.
Prior to joining the Ph.D. program, I was a software developer at Auve Tech, a Self-driving vehicles and autonomous transportation systems company that develops a flexible level 4 autonomous shuttle. I also held a research assistant position at the Intelligent Transportation System Lab, Tartu, working on "Visual Inertial Odometry for Autonomous Vehicles relying on modern SLAM algorithms and Sensor Data Fusion" and a teaching assistant for parallel computing at the University of Tartu during his master's studies. Earlier positions held by me include lecturer, teaching subjects such as operating systems, web technology, microprocessor and computer architecture, gazetted level 7 officer at the Ministry of Health Nepal as a computer programmer, and a junior software developer in MarketTools Research Pvt. Ltd. (MetrixLab). Currently, I am involved in teaching and supervising student projects outside of research.
I hold a Bachelor's degree in Computer Science & Engineering from Jawaharlal Nehru Technological University Kakinada, India and Master's degree in Computer Science with Distributed Systems specialization from the University of Tartu, Estonia. I received a full-time exemption scholarship from the University of Tartu and a grant from the Estonian Ministry of Foreign Affairs (MFA). I also obtained a Kristjan Jaak scholarship from the Archimedes Foundation in Tartu, Estonia, for study visits.