Massum Abbas

Experienced software developer skilled in web application development using .NET, SQL, JavaScript, and React. With 2 years of hands-on experience in backend systems and database management, I'm adept at tackling complex challenges. I've led mid-level projects and have a keen interest in emerging technologies like machine learning. Proficient in Java, C#, .NET, Android, and React JS, I'm dedicated to delivering impactful results in web development

Human Resource Information System: The project involved streamlining and automating various HR processes, including employee data management, recruitment and onboarding, time and attendance tracking, payroll administration, performance management, compliance, and reporting. By leveraging the HRIS software, we achieved improved efficiency, accuracy, and compliance in managing employee records, payroll processing, performance evaluations, and regulatory reporting., https://kidneycentre.com/

Patient Portal Online Reports View System: As part of a hospital's technology team, I played a key role in the development and implementation of a Patient Portal Online Reports View System. This system enabled patients to conveniently access their medical reports and test results online, enhancing the overall patient experience and streamlining healthcare delivery. Leveraging my expertise in web development, database management, and user experience design, I collaborated with cross-functional teams to design and build a secure and user-friendly platform., http://patientportal.kidneycentre.com/OnlineReports/Lab 

School Management System: Leveraging my skills in software development, database management, and user interface design, I collaborated with the team to design and develop modules for student enrollment, attendance tracking, grading, scheduling, and communication between teachers, students, and parents.

 Accident Detection And Reporting (Machine Learning/Android): I took a leading role in developing an Accident Detection and Reporting system, leveraging Machine Learning and Android technologies. This innovative solution aimed to enhance road safety by detecting and reporting accidents in real-time. Through the integration of sensor data, image processing, and machine learning algorithms, the system could accurately identify potential accidents by analyzing patterns and anomalies in vehicle movement and collisions.