Getinet Amare

Master of Science in Software Engineering

2017 - 2019

Near East University, Nicosia, Turkish Republic of North Cyprus

Graduated with very great distinction grade

Bachelor of Science in information Technology

2013 - 2016

Bahir Dar Institutue of Technology, Bahir Dar, Ethiopia

Graduated with great distinction grade

Optical Mark Reader System Using Image Scanner

2018 - 2019

published on conteporany, special edition Spain

Download published article

Download Full Research on Near East Grand Library

It is the process of scanning optical paper sheets to decide the appearance and non-appearance of marks in a prearranged location. This system is developed by using image processing techniques. The system has eight types of scoring sheets and its own unique barcode to classify them. The scoring sheet contains 15, 20, 30, 45, 60, 80, 100 and 125 questions with 5 choices in each. It has two types of users where first one feed sheets and can see OMR result, and the second one only read OMR results. It can send the recognized scoring sheet by bordering the answer area with different colors; these are green border for correctly marked answers, red border for duplicate marked answers, and yellow border for totally unmarked questions. Results obtained shows that the system takes scoring sheets and produces results with letter grade and equivalent numerical letters.

Electronically Know Your Customer(EKYC)

Nov 2023 - Jan 2025

Electronic Medical Record System

Oct 2023 - Dec 2023

Design and implement RESTful APIs for data exchange across multiple systems. Develop reusable code and libraries using Java and Spring Boot. Participate in technical discussions to plan and build scalable backend solutions. Structure and optimize relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) databases. Work with microservice architectures and implement caching solutions using Redis. Conduct unit, integration, and user acceptance testing. Maintain codebase with Git and manage CI/CD pipelines using Jenkins. Monitor and optimize application performance using tools like Grafana and Splunk. Provide support for deployed applications and ensure continuous improvement.

Food E-commerce App

May - Sep - 2023

Mackys Food, is an online food store that provides its users, an instant access to over 100 food items in different menu categories. Unlike traditional food restaurants, Mackys, focus on serving online customers between the age of 15-35 years, who prefer convenient self service methods, with vast selection of food items at low prices, plus on time delivery service.

CBE end to end Loan Management System.

Mar-2023 - Dec-2023

CBE Loan Management System is a web platform which assists lenders and employees in automating and streamlining the entire loan life cycle including loan servicing, reporting, customer care, and customer monitoring. It acts as a centralized data storage unit which is used for retaining and managing customer information, creating new loans, and keeping a record of all financial statements for the lenders. Thus, it offers an integrated overview of all the different processes of the lending lifecycle. This unified platform also has built in analytic modules that can be utilized for providing useful analysis and insights into automating the entire loan cycle as well as comprehensive reports on the cash flow. Integrated with core banking system i.e. T-24 to check, reuse the previous history of lenders information.

CBE NPV Tool

In theory, an NPV is “good” if it is greater than zero. After all, the NPV calculation already takes into account factors such as the investor's cost of capital, opportunity cost, and risk tolerance through the discount rate. And the future cash flows of the project, together with the time value of money, are also captured. Therefore, even an NPV of $1 should theoretically qualify as “good,” indicating that the project is worthwhile. In practice, since estimates used in the calculation are subject to error, many planners will set a higher bar for NPV to give themselves an additional margin of safety.

CBE GYM Management System

CBE Gym management system is a web based system that is used for selecting gym customers randomly based on gymnasium’s capacity among many applicants, manage training schedule, manage trainees’ fitness status, assign trainees to training schedule randomly, generate attendance based on the assigned schedule automatically. It has an integration with mobile money to pay monthly gym payment online. It has also an integration with CBE’s email server using LDAP to authenticate the gym customer is the right CBE’s employee. For those trainees who does not obey with the rule and regulations of the gymnasium in related to attendance, and monthly payment, the system can send warning and ban message to customer’s email automatically.

• Gather the requirement through information gathering techniques.
• Analysis of requirement.
• Design Requirement analysis and architecture
• Review the existing manual systems
• Designed and implemented the user interfaces
• Used Java and Spring Boot as back end programming language and framework respectively
• Used Vue.js, JavaScript, CSS, Bootstrap, HTML as front end
• Used MYSQL for database
• Tools: - IntelliJ, Hibernate, Visual Studio Code, Git, GitHub, Postman, Insomnia, UML.
• Demo 1: Demo 1 on youtube
• Demo 2: Demo1 on youtube
• Demo 3: Demo1 on youtube

Payment Card Requester and Tracker

Payment Card Requester and Tracker system is a web based system that is used for providing online form for requesting payment cards such as Debit, Credit, Staff, Women, Youth, and other types of cards. After successfully requesting the payment cards, the application generates random unique number and send it to customer email for tracking and cancellation purpose. The card production tracking is made both on web forms side and telegram bot integration on it. It has also cancellation option before card production commencements.

• Gather, Analyse and review the requirement
• Design and Implement the system
• Used Java and Spring Boot as back end programming language and framework respectively.
• Used Vue.js, JavaScript, CSS, Bootstrap, HTML as front end.
• Used MYSQL for database.
• Tools: - IntelliJ, Hibernate, Visual Studio Code, Git, GitHub, Postman, Insomnia, UML, JHipster.
• Demo 1: Demo 1 on youtube

Lecturers performance management system

Oct, 2019 - Jun, 2020

Lecturers performance management system is a web based system that is used for managing the lecturers’ performance collected from different organs. The system collects the evaluation results from the students he/she taught, colleagues, as advisor, and boss. Finally, or in between, the lecturer can check the evaluation result details.

• Used PHP as back end scripting language.
• Used JavaScript, CSS, Bootstrap, HTML as front end.
• Used MYSQL for database.
• Tools: - Sublime text 3, UML, Xampp, Chrome