Explainable ML systems for imaging, health, and product teams.
AI/ML Engineer with a strong foundation in computer vision and Python, delivering end-to-end pipelines for medical imaging, applied ML, and full-stack builds that translate research into real-world impact.
Explainable ML systems for imaging, health, and product teams.
AI/ML Engineer delivering end-to-end pipelines for medical imaging, applied ML, and full-stack builds.
I combine computer vision, Python development, and cross-functional ML rigor to build SegUNet, MedSAM, and dual U-Net pipelines clinicians can explain, while also shipping ML-backed products spanning agritech, GenAI simulations, and security dashboards.
Core investigative vectors combining interpretability, domain fusion, and robust ML deployment.
Production-grade computer vision models, tumor segmentations, and clinical diagnostics pipelines.
A unified computer-vision research pipeline for PlantVillage that combines leaf segmentation, leaf-level detection, and background-robust disease classification in one connected workflow.
Leaf-Only
Intervened
Bangla/English Voice-First Civic Safety Assistant for Bangladesh (Collaborative Project)
Responsive e-commerce UI with catalog search, filterable dashboards, and secure checkout flows, designed to keep book discovery, selection, and purchase frictionless.
Browser-based phishing detection dashboard that scores URLs locally using heuristics, dataset-tuned thresholds, and optional reputation checks inside a SOC-style interface.
Organization hub featuring event galleries and member resources, designed as a responsive portal to strengthen community engagement and accessibility.
Co-authored research on interpretable dental imaging, delivering a custom SegUNet pipeline for pediatric panoramic radiographs.
Researched on developing a leakage-aware and interpretable machine learning framework for multi-class Hepatitis C classification using clinical biomarker data.
BRAC University
Northern University Bangladesh · CGPA 3.669/4.0
Jatir Janak Bangabandhu Sheikh Mujibur Rahman Government College · GPA 5.00/5.00
Dakhin Khan Adarsha Girls' High School · GPA 4.61/5.00
A practical playbook for pairing Kaggle API keys with Colab so large competitions stream in directly—no manual zips, just reproducible notebooks and mounted storage.
Examining how silicon dependencies, export controls, and software ecosystems turned technology into the primary theater for geopolitical leverage.
A meditation on the tension between algorithmic decision systems and human agency, and why the next frontier is contested in datasets, privacy laws, and control.
Lecturer, Department of Computer Science
and Engineering,
Northern University Bangladesh
Lecturer, Department of Computer Science
and Engineering,
Northern University Bangladesh