Md Abdul Mutalib

Md Abdul Mutalib

AI Enthusiast | Machine Learning & Deep Learning Researcher | Passionate about Medical Diagnosis & Computer Vision Projects

About Abdul Mutalib

Welcome to my personal website! I am Md. Abdul Mutalib, a passionate researcher and software engineer with a deep interest in Artificial Intelligence, specifically focusing on deep learning applications in medical diagnosis. My academic journey began with a B.Sc. in Computer Science and Engineering from North East University Bangladesh (NEUB), and I am currently involved in cutting-edge research at the CRC Research Centre on the project titled “Hand Gesture Recognition and Visual Estimations.”

Areas of Expertise

  • Machine Learning & Deep Learning: Specializing in the development and implementation of algorithms for medical diagnostics, including pneumonia detection and eye disease identification using X-ray and retinal images.
  • Python Programming: Proficient in building AI models using Python libraries such as TensorFlow, PyTorch, and Scikit-learn.
  • Research & Innovation: Actively working on research projects and exploring innovative solutions in medical AI.

Ongoing Research

I am currently leading research on the following topics:

  • Pneumonia Detection using Deep Learning: Enhancing diagnostic accuracy through machine learning models applied to chest X-ray data.
  • Retinal Disease Classification: Exploring the use of ensemble learning techniques for better detection of retinal diseases.

Academic Achievements

  • Thesis Project: Using Machine Learning and Deep Learning to Identify Pneumonia from Chest X-ray Images (2024)

🧑‍🔬 Research Experiences

  • Intern Research and Development Unit | UniV | September, 2024 - Present
  • Research Assistant | CRC Research Center | July, 2024 - Present

👩‍💻 Technical Skills

  • Programming Languages: Python, C, C++, Java, JavaScript, R (basic)
  • DS & ML Tools (Python): NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Keras, TensorFlow, Pycaret, PyTorch
  • ML Techniques: Normal ML Methods, Deep Learning, NLP, Computer Vision, Graph Neural Networks, Explainable AI, Robust Modeling, etc.
  • DS Techniques: EDA, Hypothesis Testing, Sampling, Statistical Testing, Correlation Analysis and Inference
  • Data Analysis: MS Excel, SAS, Tableau, Power BI
  • IT Automation: Automation in MS Word, PowerPoint, Excel, Google Sheets, Adobe Photoshop, Illustrator, Python-based Photo Manipulations
  • Computer Vision: Image processing, object detection, hand gesture recognition using OpenCV
  • Deep Learning: Image classification, object detection, and natural language processing
  • Documentation and Illustration: LaTeX, MS Office

Get in Touch

I am always eager to collaborate on research projects, exchange ideas, and learn from others. Feel free to reach out to me through the following channels:

“Bringing innovative AI solutions to life through research and collaboration.”