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AI / ML
Computer Vision
Medical Imaging
esra@portfolio:~$
I'm a Computer Engineering student building my path across software engineering, artificial intelligence, and computer vision, with a particular interest in medical imaging and healthcare AI. I enjoy working at the intersection of research and engineering — turning ideas into reliable software, experiments, and real-world solutions.
Technology is what I build.
Curiosity is what drives me.
I'm a Computer Engineering student with a growing focus on artificial intelligence, computer vision, and medical imaging.
My current interests are centered around AI for healthcare, particularly medical image analysis, segmentation, and deep learning.
Alongside software engineering, I am gaining research experience through work with medical imaging datasets, DICOM data, image preprocessing, and deep learning-based segmentation.
I’m especially interested in understanding how data quality, preprocessing choices, and experimental design influence the performance and reliability of machine learning models.
My long-term goal is to build strong expertise in AI and computer vision while contributing to meaningful research and developing technologies that can have real-world impact.
Always exploring new ideas and technologies.
Building reliable and thoughtful software.
Creating technology that improves lives.
Every experience has shaped the engineer, researcher and leader I continue to become.
Building reliable software across computer vision, backend systems and cloud infrastructure.
Exploring medical image analysis and explainable AI for real clinical impact.
Leading, mentoring and building across cultures through community and entrepreneurship.
Explore some of my recent work in AI research, computer vision, and web systems.
Deep learning pipeline designed for high-accuracy medical diagnosis from imaging datasets.
Exploratory data analysis and predictive machine learning algorithms built for complex datasets.
Exploring the intersection of artificial intelligence, medical imaging and software engineering through research-driven development.
I believe meaningful research starts with genuine curiosity and ends with systems people can trust. My work focuses on building reliable, explainable AI for medical image analysis — turning complex models into tools that support real clinical decisions.
Current Focus
Medical Image Analysis
Research Area
Computer Vision
Framework
nnU-Net
Languages
Python
Current Goal
Medical AI Research
Status
Active Research
esra@lab:~$
The tools, frameworks and technologies I use to transform ideas into reliable software and intelligent systems.
I'm open to conversations about AI research, computer vision, medical imaging, software engineering, and potential collaborations. If you have an interesting project, research idea, or opportunity, feel free to get in touch.