1. National Design Innovation Network | Demo Video
My role in this project is to develop a virtual assistant for a restricted knowledge base for STEM VR experiments (Funded by the MeitY government of India).
Welcome to my homepage! My major research interests lie in the intersection area of Information Security, PPML, Virtual Reality, NLP, Machine Learning, and Deep Reinforcement learning with an emphasis on algorithms for the control and optimization of stochastic dynamic systems, particularly reinforcement learning and simulation optimization. I'm also interested in malware detection, multi-party computation, and cryptography.
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Currently, I am working as a Research Assistant at the Indian Indian Institute of Science, Bangalore. I have been involved in different central government research projects at the Indian Institute of Science, funded by the government of India.
I am a very enthusiastic, dedicated, self-motivated, and hardworking person. I am always keen to learn and explore the latest cutting-edge research in machine learning, deep learning, reinforcement learning, malware detection, and information security.
I like playing cricket, listening to soft music, and writing poetry in my leisure time. Sometimes I likes to spend my time cooking dishes or amidst nature.
My role in this project is to develop a virtual assistant for a restricted knowledge base for STEM VR experiments (Funded by the MeitY government of India).
My primary role in this project is to write code for validation cryptographic algorithms (DSA, ECDSA, RSA, KAS, etc.) automatically. I am also involved in developing the backend and front end for automated CAVS(Cryptographic Algorithm Validation System) [Funded by the MeitY government of India].
In this project, we are trying to develop an autonomous navigation drone that can recognize the path inside the building and map the whole building from the inside. This project is still in progress.
In this project, I implemented the Double Q-Learning algorithm on Mountain Car Game as a reinforcement learning project. I also tried to improve the algorithm learning rate.
In this project, I trained and tested CNN, RNN, and LSTM algorithms for handwritten digit recognition on the MNIST data set. I also compare the results for the given algorithms.
In this project, I trained and tested CNN, RNN, and LSTM algorithms for handwritten digit recognition on the MNIST data set. I also compared the results of these algorithms.
This was my major undergrad project, where I extended my minor project and proposed a new model which is more efficient and reliable than D.K. Lobiyal’s paper and implemented it.
This was my minor undergrad project in which I implemented the research paper authored by D.K. Lobiyal using NetSim Simulator.
In this project, I trained a machine learning model using linear regression to predict the types of tumor (Malignant/Benign).
● DIC lab, CPDM, Indian Institute of Science
● Project: NDIN
● Role: Developing virtual assistant for STEM
● Information Security Lab, SERC, IISc.
● Project:CAVS
● Role: Developing Cryptograhic algorithm
validation System
● Research Member: FOREST Indigenous Knowledge Research Group
● Organizaiotion: XPRIZE, USA
● Position: Summer Research Fellow
● Organization: Indian Academy of Sciences, Bangalore
● Undergrad Summer School 2017
● Dept: Computer Science and Automation
● Organization: Indian Institute of Science, Bangalore
● Positon: Research Intern
● Dept: IT Department
● Organization: Indian Northern Railway, Lucknow Division, India
● Positon: Intern
● Program: Advance Java Programming for Web Development
● Organization: NIIT-Oracle workforce development program, Lucknow
● Reinforcement Learning
● Advisor: Prof. Shalabh Bhatnagar (CSA)
● Inst: Indian Institutue of Science, Bangalore
● Deep Learning
● Advisor: Prof. Sri Ram Ganapathi (ECE)
● Inst: Indian Institute of Science, Bangalore
● Data Mining
● Advisor: Prof. Susheela Devi
● Inst: Indian Institute of Science, Bangalore
● Stream: Computer Science and Information Technology (CSIT)
● Inst: Institute of Engineering and Technology, campus MJPRU, Bareilly, U.P.
● Stream: PCM
● College: Career Convent Inter College, Lucknow
● Stream: Science
● School: DRLIC, Pilkhava, Gandhinagar, Ambedkar Nagar, UP
● School: City Montessor School