BE-Mechanical (2020-24) | Vice Captain @ CEG Motorsports

Passionate and zealous, I am an eager student ready to embark on an exhilarating journey into the realm of mechanical engineering. Excited to delve into the captivating world of innovation, I am eager to immerse myself in every facet of this magical field. With an insatiable thirst for knowledge, I yearn to explore the dynamic changes unfolding in mechanical industries. Determined to seize every opportunity, I eagerly anticipate unleashing my creativity and unraveling the wonders of this captivating discipline. Let's ignite the fire of learning and engineer a future filled with limitless possibilities!

My Works

Some of My Highlights


The roll cage is a critical safety component of the off-road vehicle, designed to protect the driver in the event of a rollover or impact. Using 3d CAD software We optimize the design for strength, stiffness, and weight. We consider factors such as material selection, tubing diameter and thickness. We work with metal fabrication tools, such as tube benders and welders, to fabricate and assemble the roll cage accurately. Static load testing and dynamic impact testing are done to evaluate the roll cage's performance under different scenarios to maximize safety.


In-plant Training is a crucial phase in a student's life, offering valuable opportunities for growth. With careful planning, execution, and evaluation, industrial training fosters a professional attitude and cultivates an understanding of industrial problem-solving approaches. As a student of Mechanical Engineering, my aim was to acquire discipline, skills, and technical knowledge through a conducive training environment. During my four-week training at Daimler India Commercial Vehicles, I diligently observed and comprehended the workings of each department. This experience provided me with insights into the overall workflow of the automobile industry and its production processes. I also acquired valuable knowledge in problem analysis, quality management tools like 7QC and 8D methodologies, which will undoubtedly benefit my future studies and career. This training enabled me to grasp the importance of managing work pressure and maintaining a work-life balance


The task of cleaning wide windows or facades on tall and high-rise buildings can be both tedious and dangerous. It requires a significant amount of human effort, time, and money. However, there is a solution that can make this process much easier and safer. Introducing the Win-Clean bot - a compact, user-friendly, and lightweight window cleaning robot. This innovative bot not only eliminates the need for human labor and financial resources but also eradicates the associated risks to human life. With the Win-Clean bot, window cleaning becomes a hassle-free and cost-effective experience, leaving you with peace of mind.


Image processing encompasses fundamental operations such as image restoration, image enhancement, image classification, and image fusion. Image classification plays a significant role in this field, aiming to automatically assign images to specific thematic classes. There are two main types of classification: supervised and unsupervised. The process involves two steps: training the system by capturing characteristic properties of each class, and then testing the system by categorizing test images based on the learned features. This project focuses on using Convolutional Neural Networks (CNNs) for image classification, specifically for distinguishing between "Happy" and "Sad" faces downloaded from Google.


This project focuses on a "Setup for checking Flatness using a dial indicator." We extensively studied Geometrical Dimension and Tolerancing and its significance in product manufacturing. Among various parameters, we specifically examined Flatness, exploring existing measuring instruments and methods. After conceptualizing the setup, we determined part specifications, created 3D models, and drafted the design with appropriate dimensions. Material selection, considering economic feasibility and requirements, was followed by machining and assembly. The setup's performance was validated by testing it with a known flatness part.


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Have a look at my CV to know more about me