As a software developer with strong .NET and full-stack experience, I’ve led and contributed to projects ranging from small apps to enterprise systems. I specialize in front-end (HTML, CSS, JS, Angular) and back-end (C#, SQL, OOP, Entity Framework) development, with additional expertise in machine learning, data analysis, and image/signal processing.
I earned my degree in Computer Science with a major in Biomedical Informatics at Nile University, where I led multiple team projects using agile methodology. One major project was a clinical informatics system built with Django and MongoDB, which integrated appointment booking, diagnosis notes, and X-ray system communication. My capstone focused on NGS-based Copy Number Variation (CNV) detection, combining ExomeDepth, CN.mops, and GATK into a Docker-based pipeline on Linux servers, automating genome mapping, quality checks, and variant detection.
I’m proficient in Python and R for deep learning, statistics, and visualization. I’ve worked with bioinformatics tools like BLAST, Bowtie, BWA, and AutoDock Vina, and have experience in sequence alignment, protein analysis, and molecular docking. My Linux and Bash scripting skills support virtual machine operations, project automation, and scalable data workflows.