During my internship at Rent Advisor, I developed a custom Google Maps interface with advanced filtering, which improved user search efficiency and increased successful rental matches. I also implemented an automatic scheduling system for property viewings, streamlining the booking process and reducing manual workload. To enhance overall system performance, I optimized database queries and managed the backend architecture, significantly decreasing page load times. Throughout the project, I… Show more During my internship at Rent Advisor, I developed a custom Google Maps interface with advanced filtering, which improved user search efficiency and increased successful rental matches. I also implemented an automatic scheduling system for property viewings, streamlining the booking process and reducing manual workload. To enhance overall system performance, I optimized database queries and managed the backend architecture, significantly decreasing page load times. Throughout the project, I engineered custom solutions to overcome development tool limitations, which expanded platform functionality and demonstrated my strong problem-solving skills. Show less

I developed a flight-path optimization algorithm for drones, enhancing their coverage by 20%, which led to more thorough field analysis. In collaboration with hardware engineers, I streamlined the process of transferring data from drones to servers, cutting down data processing times by 30%. This improvement facilitated real-time insights into crop health. Additionally, I contributed to building a machine learning model that leverages drone-captured imagery to identify signs of crop stress… Show more I developed a flight-path optimization algorithm for drones, enhancing their coverage by 20%, which led to more thorough field analysis. In collaboration with hardware engineers, I streamlined the process of transferring data from drones to servers, cutting down data processing times by 30%. This improvement facilitated real-time insights into crop health. Additionally, I contributed to building a machine learning model that leverages drone-captured imagery to identify signs of crop stress, thereby improving the accuracy of early disease detection by 15%. I also refined the drone firmware update procedure, achieving a 12.6% reduction in downtime and enhancing the operational efficiency for farmers by 9%. Show less

I designed and successfully implemented a system that enables an electric, remote-controlled vehicle to dispense a chemical substance upon detecting a specific concentration level. This project was accomplished using my expertise in Arduino and C++ programming.