Shafiul Opee
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Hello, I'm Shafiul Opee. A Software QA Engineer with over 1 year of experience in testing and refining web and mobile applications, focusing on API and performance testing. Beyond my professional role, I am an AI Researcher, driven by a passion for applying Deep Learning techniques to solve challenges in Medical Imaging and Computer Vision. My work aims to push the boundaries of Artificial Intelligence to create impactful solutions in healthcare and beyond.

About Me

When I was nearing the end of my undergraduate studies, I found myself exploring the internet, searching for something that would truly spark my interest. I came across a course on Software Quality Assurance and testing. It was not something I had planned for, but it seemed intriguing, so I decided to give it a shot. As I worked through the course, the world of software quality testing started to make sense to me. I was fascinated by how thoughtful experiments and careful testing could make a huge difference in how software worked for people.

That excitement pushed me to start looking for internships where I could gain real-world experience. After sending out many applications, I eventually landed an internship as a Software Quality Assurance Engineer. During those four months, I learned hands-on skills like writing test cases, running performance checks, and collaborating closely with developers.

Towards the end of my internship, I received a full-time job offer from another company. I accepted and began working as a Trainee Software Quality Assurance Engineer. I continued to grow and learn, and today, I am still with that company, now working as a Junior Software Quality Assurance Engineer. I remain eager to refine and expand my skills every day.

About six or seven months ago, I became curious about the rapid advancements in Artificial Intelligence and Machine Learning. Seeing how fast these technologies were evolving, I felt inspired to learn more. I went back to exploring online resources and began to understand the potential of AI to change the world, especially in areas like Deep Learning and Medical Imaging. Now, alongside my full-time job, I am actively involved in research, driven by a passion for creating innovative solutions that can make a real difference.

I have always been captivated by the power of learning and the diverse ways in which technology intersects with human experience. My interests extend beyond the technical, drawing inspiration from Psychology, Art, and Human Interaction. These passions continue to shape who I am, fueling my growth as both an engineer and a researcher, always eager to make meaningful contributions to the world.

My Skills

Programming Languages

Python
C++
Java

Concepts

OOP
SDLC
STLC

Data Science & AI

Data Visualization
Data Analysis
Computer Vision
Deep Learning
Machine Learning
SVM
Random Forest
NumPy
Pandas
Scikit-learn
Seaborn

Testing

Performance Testing
API Testing

Research

Journal Papers

  • Title: ELW-CNN: An Extremely Lightweight Convolutional Neural Network for Enhancing Interoperability in Colon and Lung Cancer Identification Using Explainable AI

    Authors: S. A. Opee, A. A. Eva, A. T. Noor, S. M. Hasan, and M. F. Mridha

    Status:Submitted

  • Title: State-of-the-Art Posture Detection Techniques: A Review of Methods and Applications

    Authors: A. A. Eva, S. A. Opee, and M. F. Mridha

    Status:In process (70%)

  • Title: The Impact of Deep Learning and Computer Vision on Plant Leaf Disease Detection: A Comprehensive Review

    Authors: A. A. Eva, S. A. Opee, and M. F. Mridha

    Status:In process (70%)

Conference Papers

  • Title: Predictive Analytics for Dementia: Machine Learning on Healthcare Data

    Authors: S. A. Opee, N. Fahad, F. Jahan, A. Sen, R. Ahmed, M. J. Hossen, M. K. Morol, and M. A.-A. Jubair

    Status:Accepted

  • Title: CNNRF-Ensemble: A Multifaced Approach For Predicting White Spot Syndrome Virus In Shrimp Farming

    Authors: S. A. Opee, et al.

    Status:Accepted

Book Chapters

  • Title: Automated Plant Diseases Analysis Using Lightweight Deep Learning Models

    Authors: S. A. Opee, A. A. Eva, S. M. Hasan, A. T. Noor

    Status:Submitted

  • Title: Medical Imaging: MRI Brain Tumor Classification Using Convolutional Neural Networks (CNNs)

    Authors: S. A. Opee, A. A. Eva, M. F. Mridha

    Status:Ready to Submit

Education & Experience

Contact Me

Please contact me directly at opee.cse@gmail.com