About me
I am a Mechanical Engineering student at Pulchowk Campus, Institute of Engineering, Nepal, with a strong interest in robotics, product design, and computational engineering. My work lies at the intersection of mechanical systems, control, and intelligent design tools.
I represented Nepal at the ABU Robocon 2023 international robotics competition in Phnom Penh, where our team received the Mabuchi Motor Award. This experience strengthened my practical understanding of robotics systems, embedded control, and collaborative engineering.
My technical interests include 3D product design, robotics mechanisms, and engineering simulation. I frequently work with tools such as SolidWorks, CATIA, ANSYS, CadQuery, and Python, developing mechanical components, surface designs, and mechanism models. I am particularly interested in combining machine learning with mechanical design and optimization, exploring how intelligent systems can assist engineering workflows.
Beyond design, I enjoy translating theoretical concepts into working systems—whether through robotics prototypes, CAD models, or computational simulations. I am continuously exploring how mathematics, computation, and engineering design interact to create efficient and innovative mechanical systems.
What i'm doing
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Product Design and Development
I work on the design and development of mechanical products, including surface design, 3D modeling, prototyping, and validation. I am proficient in CAD tools such as SolidWorks and CATIA, and I develop detailed engineering drawings while ensuring manufacturability and design efficiency.
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AI-ML and Robotics
I develop intelligent robotic systems by integrating machine learning, control algorithms, and embedded electronics. My experience includes building robotic mechanisms, implementing automation using microcontrollers, and applying AI/ML techniques for system modeling, optimization, and intelligent decision-making.
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Machine Learnig
I explore the intersection of control systems and machine learning, focusing on applying data-driven methods to engineering problems. My work involves developing models using Python and PyTorch, with interests in physics-informed neural networks and intelligent design optimization.
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Current Work
I have gained industry experience through internships in product design and computational engineering. My work includes mechanical design, simulation, and research in machine learning applications for engineering systems, contributing to practical and research-driven projects.
Projects