With over 1 years of experience in Mechatronic Engineering, I have a strong passion for integrating advanced technologies like AI into practical engineering solutions. My expertise spans systems design, coding (proficient in C, C++, Python, Matlab), and structural analysis using CAD tools such as SolidWorks and AutoCAD. During my academic journey at the University of Sydney, specializing in Robotics and Intelligent Systems, I immersed myself in projects that harness AI for enhancing automation and control. At Sage Automation and Nanosonics, I acquired hands-on experience in developing PLC logic, SCADA systems, and implementing AI-driven solutions to optimize manufacturing processes. My thesis on station-keeping control for autonomous vehicles underscores my commitment to applying AI techniques to tackle intricate engineering challenges. Currently, I am furthering this passion through a personal hydroponics project, where I integrate AI for automated monitoring and optimal plant care, demonstrating my dedication to advancing technology in practical applications.
– Experience in developing and understanding PLC logic and SCADA systems within a multifaceted team on a large-scale project.
– Demonstrated ability to meet deadlines and collaborate effectively with team members to achieve key milestones.
– Proficient in PLC programming languages and SCADA software, ensuring seamless integration and functionality.
– Applied problem-solving skills to troubleshoot and optimize PLC and SCADA systems for enhanced performance.
– Documented processes and procedures to ensure clarity and continuity in project development.
– Engaged in continuous learning to stay updated with the latest advancements in PLC and SCADA technologies.
– Analysis of station-keeping control for fully actuated USVs in diverse environmental conditions.
– Developing advanced control techniques using Python simulations.
– Conducting comprehensive analysis and detailed discussions of results.
– Producing thorough reports outlining findings and recommendations.
– Applying theoretical knowledge to practical scenarios in autonomous vehicle control.
– Implementing innovative solutions for enhancing the station-keeping capabilities of USVs.
– Designing and implementing solutions to manufacturing challenges.
– Collaborating effectively within teams to achieve time-efficient outcomes.
– Utilizing SolidWorks CAD and diverse methodologies to synthesize effective solutions.
– Gaining valuable workshop experience and skill development under expert supervision.
– Contributing to the resolution of complex manufacturing issues through innovative approaches.
– Applying structured problem-solving techniques to streamline manufacturing processes.