Machine Learning Engineer | Computer Vision Researcher
nafizahmed273273@gmail.com • Portfolio • GitHub Pages • LinkedIn
Currently developing few-shot learning approaches for retinal vessel segmentation, achieving 90.1% Dice coefficient with minimal training data.
Research interests include computer vision, medical image analysis, and human–agent interaction systems.
- Deep Learning-Based Natural Language Processing in Human-Agent Interaction (2024) – Natural Language Processing Journal
- Securing Data Management for ERP Systems Using Blockchain (2023) – IJIEEB
BSc in Computer Science and Engineering, American International University–Bangladesh
CGPA: 3.93 / 4.00 — Magna Cum Laude
Machine Learning Engineer – MetroSofts, Sweden (Remote)
Research Intern – AMIR Lab, Bangladesh
Software Engineer – Shapla Infosys, Bangladesh
Focused on advancing computer vision research through efficient neural architectures for medical applications.


