Krushant Kayadra

Student

Ahmedabad Mechanical Engineering and Automotive
2roles
22skills
2education

About

I'm a 3rd year mechanical engineering student

Experience

Material Science Research Intern

IIT Mandi

June 2025 – July 2025 · Mandi, Himachal Pradesh

Conducted microstructural analysis of 24+ Cu-Cr-Zr alloy specimens fabricated via LPBF using SEM and optical microscopy; operated Wire EDM with less than 0.2 mm material loss; prepared metallurgical samples using grinding, polishing, SEM, and XRD.

Vehicle Dynamics Engineer

Team Ragnar SAE Formula Student

Sept 2023 – Aug 2025 · Gandhinagar, Gujarat

Modeled and validated suspension and double wishbone assemblies in Siemens NX and Ansys; designed adjustable wishbones; supported brake bias and setup tuning; executed camber and toe tuning to improve braking stability, cornering stability, and steering response consistency.

Education

Pandit Deendayal Energy University

B.Tech, Mechanical Engineering

July 2023 – May 2027

CGPA 7.9

Parth School of Science and Competition

11th -12th

July 2021 – May 2023

Skills

Siemens NXSolidWorksCreoAnsysMatlabArduinoPythonC++NX CAMUltimaker CuraCrealityCorelDrawMS Office ToolsMicrocontrollersROSSimhubSEMOptical MicroscopeWire EDMXRDYOLOv8Jetson Orion Nano

Projects

F1 Simulation Steering Wheel

Engineered a custom F1-style simulation steering wheel using Arduino Uno and custom electronics, achieving a 70% cost reduction versus commercial wheels. Designed and modeled the complete SolidWorks assembly and produced manufacturing-ready drawings.

Combat Robot

Building a combat robot for the under-2kg category for MindBend, the Techfest of SVNIT, Gujarat. Designing a lightweight aluminum chassis with carbon-fiber and UHMW shielding and optimizing weight distribution for turning agility and stability at weapon spin-up speeds of 8000 rpm.

Automated Waste Segregator

Designed a virtual prototype using Jetson Orion Nano, IR and ultrasonic sensors, a camera, and actuators for autonomous navigation and waste handling. Trained and deployed a YOLOv8 model to classify biodegradable versus plastic waste and integrated the hardware, control logic, and AI pipeline.