I am a Biomedical Engineer passionate about AI in Healthcare, Medical Image Processing, and Medical Informatics. With expertise in Deep Learning, Computer Vision, Python Development, Data Analytics, and Web Development, I am confident in my skills and committed to making a significant impact in the field, bridging the gap between AI and medical diagnostics.
- Deep Learning & AI: TensorFlow, PyTorch, OpenCV, YOLOv8, CNN
- Medical Image Processing: MultiResUNet, ResNet-18, K-Means Clustering
- Programming: Python, SQL, HTML, JavaScript
- Cybersecurity & Web Development: Python automation, Squarespace, Flask
- Data Annotation & Analysis: LabelImg, Image Segmentation, Object Detection
- Developed a web app integrating YOLOv8 (detection), MultiResUNet (segmentation), and ResNet-18 (classification).
- Published research on precise segmentation of optic discs and blood vessels with 87% & 98% accuracy.
- Implemented K-Means Clustering for tumor segmentation with Gaussian blur and post-processing.
- Completed Google Cybersecurity certification, worked on Python-based automation for cybersecurity tasks.
- Built an AI-based mask detection system for real-time healthcare monitoring.
- Bioinformatics & AI in Medical Imaging π§¬
- Advancing in SQL & Cloud Computing βοΈ
- Pursuing Masterβs in Bioinformatics (Germany, Winter 2025) π©πͺ
Iβm always open to collaborations on Medical AI, Computer Vision, and Web-based AI applications. Feel free to reach out!
- π§ Email: ashfaqahmd2002@gmail.com
- πΌ LinkedIn: Ashfaq Ahamed
- π Website/Portfolio: ashfaq-portfolio-ten-dun.vercel.app