ROHIL BADRIKE

Accomplished mechanical engineer with extensive expertise in mechanical design, system optimisation, and process improvement. Demonstrates proficiency in project management and problem-solving, leveraging skills in interdisciplinary collaboration and technical documentation. Adept at utilising tools such as SolidWorks, MATLAB, ANSYS, and AutoCAD to enhance safety protocols and maintenance management. Strong communicator with a focus on risk assessment and management, committed to advancing engineering solutions through innovative approaches. Career goals include leading complex engineering projects that drive efficiency and sustainability.

• Designed and analyzed a mechanical system for deep-sea cobalt extraction using advanced MATLAB simulation techniques to optimize resource extraction and minimize environmental impact.
• Developed a mathematical model to simulate particle transport dynamics, fluid velocity profiles, and drag force for efficient cobalt ore recovery.
• Conducted an exhaustive analysis of particle suspension, vertical pipe conveyance, and surface recovery to enhance system efficiency.
• Optimized design parameters, including pipe diameters and pumping systems, to minimize energy consumption while maximizing cobalt ore production.
• Utilized MATLAB for fluid dynamics simulations and Flexcom for structural analysis, ensuring the system's performance under extreme underwater conditions.
• Achieved valuable insights into particle transport kinetics and drag mechanics, contributing to the development of a cost-efficient and sustainable extraction mechanism.

• Developed a robotic system that responds to hand gestures, using Arduino UNO as the microcontroller.
• Incorporated wireless communication modules (e.g., Bluetooth or RF modules) to ensure remote control and real-time data transmission.
• Integrated motion sensors, such as accelerometers and gyroscopes, to capture hand movement and translate it into precise robotic actions.
• Designed and programmed the control system to interpret complex gestures, ensuring fluid and accurate robotic responses.
• Focused on improving human-machine interaction, making it intuitive and suitable for applications in automation, healthcare, and assistive devices.
• Enhanced system accuracy and performance through careful calibration and testing, achieving a reliable and responsive robotic control interface.
• Software used for coding and simulation: Arduino IDE for microcontroller programming, AutoCAD for designing the robot structure, and MATLAB for system optimization and data analysis.

• Six Sigma: Green Belt
• SAP ERP Essential Training
• Project Management Foundation
• Getting Started with AI and Machine Learning
• Artificial Intelligence Foundations: Thinking Machines
• Renewable Energy and Green Building Entrepreneurship
• AutoCAD Certification
• SolidWorks Professional Certification