Mostafa M.

أنا مصطفى محمود صالح (Mostafa Mahmoud Saleh)، مهندس ذكاء اصطناعي متخصص في الذكاء الاصطناعي وتحليل البيانات الحيوية (Bioinformatics)، أمتلك شغفًا بربط التكنولوجيا بالعلوم الحيوية لاكتشاف الأنماط وفهم الأنظمة البيولوجية المعقدة.

أؤمن بأن الذكاء الاصطناعي يمكن أن يغيّر مستقبل الرعاية الصحية والبحث العلمي من خلال تحويل البيانات الجينية والسريرية إلى رؤى عملية.

I am an AI Engineer & Bioinformatics Specialist passionate about applying machine learning and data science to biological research and healthcare decision-making. Through academic projects and continuous learning, I aim to explore how computational tools can accelerate discoveries in life sciences.

Programming & Data: Python (NumPy, Pandas, Scikit-Learn), SQL, MongoDB, Excel

Visualization & BI: Power BI, Tableau

AI & Bioinformatics: Machine Learning, BLAST, Sequence Alignment, Data Preprocessing

Other Tools: C#, C++, Bash, Google Colab

Languages: Arabic (Native), English (Professional Level)

🧠 Smart System for Diabetes Detection

Developed a machine-learning web application that predicts diabetes risk using Kaggle datasets.

Implemented data cleaning and classification algorithms for accurate and fast prediction.

Tools: Python, Pandas, Scikit-Learn, Flask

🩺 Comprehensive Breast Tumor Detection and Diagnosis

Built AI models and computer vision pipelines for early breast tumor detection using MRI and histopathology datasets (CBIS-DDSM & Kaggle).

Created a web interface for instant report generation to assist clinicians.

Tools: Python, Google Colab, OpenCV, TensorFlow

Delta University for Science and Technology – Faculty of Artificial Intelligence, Department of Bioinformatics

B.Sc. in Bioinformatics (2021 – 2025) | Overall Grade: Good

Bioinformatics Tools in Market – AyNo Learn Academy (Aug 2025)

Intensive training on modern bioinformatics tools, their applications and selection for biological data analysis.

Building LLM Applications With Prompt Engineering – NVIDIA (Oct 2025)

Practical competency certificate in designing and building AI applications based on large language models and prompt engineering techniques.

Bioinformatics Course – Micro Analytical Center, Cairo University (2025)

Introduction to Bioinformatics, Sequence Alignment Basics, and BLAST.

Data Analysis Program – Digital Egypt Pioneers Initiative (DEPI, 2025)

Excel, SQL, Python, Power BI, Tableau.

Artificial Intelligence Applications in Healthcare and Genomics

Machine Learning for Bioinformatics and Clinical Decision Support

Scientific Research & Data-Driven Innovation.