As a Computer Science graduate from the University of Passau, Germany, I specialize in machine learning, advanced programming, algorithms, data structures, and cloud application development. My academic background has been complemented by hands-on experience in various projects, where I've honed my skills in data analysis, machine learning, web development, and desktop applications.
In the fast-paced realm of technology, I excel in adapting to new tools and technologies. My passion lies in leveraging my skills in environments that value continuous learning and adaptability. I am particularly drawn to collaborations that challenge me and provide opportunities for mutual growth.
My portfolio is a testament to my ongoing commitment to learning and improvement. I regularly update it with new projects, demonstrating my ability to apply my knowledge in practical settings. Feel free to explore my work and get in touch if you see potential for collaboration.
The project involved implementing a comprehensive multi-label text classification on the OPP-115 dataset, which is a complex collection of website privacy policies annotated for data practices. An array of advanced machine learning and deep learning models were utilized, including SVM, K-NN, RF, LR, CNN, Bi-LSTM, and a Hybrid Model between CNN and LSTM.
An innovative web application that bridges the gap between medical professionals and patients in remote areas access to healthcare. The online consultation brings expert medical advice to the fingertips of those who need it most.
A Java desktop application tailored to an electrical company that specializes in advanced wiring and installation services. This application was designed to enhance operational efficiency by organizing the management of inspection processes. Notably, it uses data analytics to generate insightful reports, which provide both management and clients with essential business intelligence.
A Purchase Order Management (POM) system that enhances operational efficiency, streamlined purchase order processes, and improved user experience. The system consists of four main functionalities: user authentication, item managment, sales tracking, and purchase requistion & order processing.
Jukebox machine that utilizes the power of C++ stack and queue data structures. The program is engineered carefully with a focus on data structure design pattern.
An electricity meter management system for a
student accommodation building, enabling precise billing for
each tenant based on individual consumption.
The system also enhanced the building supervisor's control
over electricity usage by allowing them to manage individual apartment meters.
The system contains four critical modules: user authentication,
meter type configuration, billing operations, and payment management.
This comprehensive system was architected to leverage key design patterns
to optimize code reuse and scalability.
A smart home control system prototype simulation for a new housing developer. The system controls various devices which are equipped with a software motor/sensors that allows them to be controlled through a network (TCP/IP) and socket programming. The simulation is built on LabVIEW.
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Feel free to send any questions or say hi!