About Me

I’m a Mechanical Engineering undergraduate passionate about bridging the gap between traditional engineering and modern computational techniques. My work focuses on applying mechanical design principles, simulation, and data-driven methods to develop efficient and innovative engineering solutions. With a strong foundation in engineering mathematics, solid mechanics, materials science, CAD modelling, Finite Element Analysis (FEA), and reverse engineering, I am driven by a passion for advancing engineering practice through continual learning, collaboration, and real-world problem-solving. By integrating cutting-edge computational tools with traditional methodologies, I aim to contribute meaningful solutions to complex engineering challenges and to make a lasting impact in the field of mechanical engineering and materials science.

My academic journey reflects a blend of creativity and technical rigor, showcased through projects such as gearbox modelling using machine learning, a comparative analysis of composite propeller shafts, and optimization of FDM process parameters for enhanced quality of PLA 3D printed components. These projects highlight my ability to integrate computational and experimental methods, materials science, and experimental validation to improve product performance and reliability.

I’m deeply interested in multi-scale modelling, design optimization, and the development of novel materials for emerging technologies. I aspire to explore interdisciplinary research that combines mechanical design, mathematical modelling, and artificial intelligence to tackle complex engineering challenges. Driven by curiosity and collaboration, I aim to contribute to innovations that redefine the boundaries of mechanical systems and sustainable manufacturing. As I continue to evolve as an engineer, I remain committed to learning, interdisciplinary collaboration, and leveraging emerging technologies to solve and address complex, real-world multidisciplinary challenges.