Mechanical Engineering Student | Robotics, AI & R&D Enthusiast | Research Driven
View My WorkI am a Mechanical Engineering undergraduate passionate about Robotics, AI and R&D innovation, and advanced manufacturing. I actively work on real-world engineering problems, interdisciplinary research projects, and systems Developments. With a strong foundation in design, mechanics, control theory, and computational simulation, I aim to contribute to cutting-edge technologies that shape the future of automation and sustainable energy.
This project aims at programming a dry fogging circuit for effective, safe and efficient hand sanitization.Sanitizer is sprayed in mist form automatically with the help of a humidifier. On doing so,the setup is made contactless. Since the sanitizer is sprayed in mist form, it uses lesseramount of sanitizer/ disinfectant thus, making it more economical as well. The construction of the sanitization unit is easy and cheap as well.
View Project Details →The "Hotel and Restaurant Billing System" project is designed toenhance the customer experience by providing a seamless and accurate billingprocess. It caters to the needs of both customers and staff, contributing toimproved service quality and operational efficiency within the hotel andrestaurant industry.The project covers almost all the fundamental aspects of C-programminglanguage. We will be utilising almost every concept and technique that we haveacquired knowledge about in the first semester classes and also introducing somenew concepts, assisted by the internet.
View Project Details →This project implements and evaluates a deep learning–based 3D point cloud classification framework using the ModelNet++ architecture. The work focuses on learning discriminative features directly from raw point cloud data and performing object classification on the ModelNet dataset. The architecture follows the hierarchical feature learning strategy inspired by PointNet++. This work is perfomed during the time interval of my intership Ank Computing.
View Project Details →This project presents the development of an intelligent heat exchanger control system using Deep Reinforcement Learning (DRL). A Deep Q-Network (DQN) agent is trained within a digital twin environment of a heat exchanger to automatically regulate outlet temperature under varying operating conditions and disturbances. The project integrates principles of thermodynamics, heat transfer, fluid mechanics, control engineering, and artificial intelligence into a unified autonomous control framework. The intelligent controller continuously adjusts the hot fluid mass flow rate to maintain thermal stability while minimizing pressure losses and control effort.
View Project Details →Currently working Autonomous Navigation Vehicle. Open to research collaborations and Sponsorship.
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