Jubair Ahmed Junjun
Data Science & AI Researcher • Software Engineer
MSc in Data Intelligence graduate from Canterbury Christ Church University (UK). Specialized in Deep Learning, Medical Image Segmentation (BraTS 2020), CNN-LSTM Physiological Signal Analysis, and Full-Stack Software Systems.
AI Research Summarizer
Live Typewriter AIAI Model Inference Simulator
PyTorch U-Net DemoBrain Tumor MRI Segmentation & Classification
Test transformer-based U-Net inference confidence scoring on synthetic BraTS features.
// Adjust threshold slider and execute model inference.
Featured Projects
TeleApp Market Analysis
Evaluated potential applications for telehealth during COVID-19, conducting competitor metrics tracking and IP patent searches.
Hajj-e-Baitullah Software System
Collaborated at MassGroupBD to build software modules, write test documentation, and provide technical onboarding leadership.
GitHub Repositories
View All →Transformer-based U-Net implementation for multimodal BraTS 2020 MRI brain tumor segmentation.
Hybrid deep learning architecture for decoding physiological biological signals and emotional status.
Experience & Education
Experience
Data Analyst @ Techmart Ltd
Managed pricing structures, competitor metrics tracking, and monthly revenue evaluations.
Junior Developer @ MassGroupBD
Coded software features, tested test plans, and conducted user training sessions.
Education
MSc in Data Intelligence
Canterbury Christ Church University
B.Sc in Computer Science & Engineering
BGC Trust University Bangladesh
Get in touch.
Open for AI research collaborations, data science roles, and software engineering opportunities.