Aiatul Al-amin Ador

Software Engineer

I am a Computer Science and Engineering graduate with a strong foundation from the University of Asia Pacific. My core expertise lies in Object-Oriented Programming (OOP), Java, and the Spring framework, including Spring Boot, Spring MVC, and Spring Security.

These skills enable me to design efficient and scalable solutions by applying best practices in software development. My technical skill set encompasses Python, Shell scripting, HTML, and CSS. I have hands-on experience with Linux, Git, and LaTeX. Alongside my technical aptitude, I bring strong problem-solving abilities, effective communication, adaptability, and a proactive approach.

My career goal is to establish myself as a proficient professional who contributes to impactful projects and drives technological advancements.

Outside of work, I have a deep passion for football and data analysis. I utilize statistical tools to analyze matches, extract insights, and enhance performance. This hobby enhances my analytical thinking, attention to detail, and ability to draw meaningful conclusions from complex datasets.

See My Resume

Institutes and Degrees

⛤ Bachelor of Science in Computer Science and Engineering

↪ University Of Asia Pacific. October 2018 - May 2023

⛤ Higher Secondary School Certificate

↪ Rajbari Govt. College. 2015 - 2017

⛤ Secondary School Certificate

↪ Rajbari Govt. High School. 2010 - 2015

Research

☞ Comprehensive Analysis of Machine Learning and Deep Learning Algorithm’s Performance on Medical Images.

↪ In my study, I focused on using machine learning and deep learning algorithms to improve medical imaging for disease diagnosis. I utilized chest X-ray data from COVID-19 patients to develop a modelthat can identify pneumonia in these patients. After analyzing various algorithms, I found that deeplearning outperformed machine learning, achieving 99% accuracy compared to 93%. This higher accuracyis crucial in healthcare where even small errors can have significant consequences. The findings of mystudy will help enhance the use of deep learning in medical imaging and assist medical professionals with pre-diagnosis.