Merging Civil Engineering with Artificial Intelligence. Specializing in Intelligent Transportation Systems, Parking Management, and Reinforcement Learning for smarter, sustainable cities.
I am a Civil Engineer turned Geoinformatics researcher, currently pursuing a Ph.D. at IIT Kanpur. My research focus has evolved from traditional GIS applications to advanced Intelligent Transportation Systems (ITS).
I employ Reinforcement Learning and Genetic Algorithms to solve complex optimization problems in urban parking and traffic dynamics. With a strong background in web development and data analysis, I bridge the gap between theoretical planning and practical, data-driven software solutions.
IIT Kanpur (CPI: 8.7)
GBPUAT (CPI: 7.67)
Evaluated LLM outputs and designed domain-specific problem sets to test AI.
Assisted field-based labs on principles of engineering surveying.
Assisted field-based labs on principles of engineering surveying.
Assisted labs on generating, analyzing, and visualizing LiDAR datasets.
Explained concepts of RS Systems, Image Processing, and distortions.
Explained and assisted different field-based labs.
Covered error analysis, numerical methods, regression, and differential equations.
Assisted labs on GIS topology, spatial referencing, and physical modelling.
Park-IT: Advanced Parking Information and Management for Indian Traffic.
View DetailsImplementation of Wolpertinger Algorithm to use DDPG for MountainCar-v0.
View DetailsInteractive simulations demonstrating core RL concepts for Intelligent Transportation Systems (ITS).
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