
Hello, I'm
A.K. Hasan
Mahamudul Haque
I'm a |
Computer Science & Engineering student at AIUB, passionate about building intelligent systems for healthcare, advancing Explainable AI research, and crafting beautiful full-stack web applications. Always learning, always shipping.

Currently
B.Sc. CSE @ AIUB
Focus
AI · ML · CV
About Me
Building intelligence with purpose
I'm a Computer Science & Engineering student at AIUB, dedicated to solving real-world challenges through AI, machine learning, and modern software engineering.
My Journey
I'm currently pursuing my B.Sc. in Computer Science & Engineering at American International University-Bangladesh, with deep interest in Artificial Intelligence, Machine Learning, Computer Vision, and Explainable AI.
My current research focuses on an Explainable Retrieval-Augmented Vision-Language Framework for Early Diabetic Retinopathy Diagnosis — bridging medical imaging with trustworthy, interpretable AI.
Beyond research, I love building full-stack applications with React, Next.js, and modern tooling. I'm an open-source enthusiast aiming to become a researcher and software engineer who creates impactful, human-centered technology.
AI Research
Exploring Explainable AI, VLMs, and RAG for healthcare.
Healthcare AI
Building intelligent diagnostic tools that save lives.
Full-Stack Engineering
Crafting performant, accessible web apps end-to-end.
Continuous Learning
Curious about every paper, every commit, every detail.
Education
Academic Background
Building a strong foundation in computer science with a research-driven mindset.
B.Sc. in Computer Science & Engineering
American International University-Bangladesh (AIUB)
Focused on AI, ML, Software Engineering, Data Structures, Algorithms, Databases, OS, Networks, and Computer Vision.
Research — Explainable AI for Healthcare
Explainable Retrieval-Augmented Vision-Language Framework
Building an explainable RAG + VLM framework for early diabetic retinopathy diagnosis using medical image analysis.
Skills
Tools & Technologies
A growing toolkit across AI research and modern full-stack development.
Programming Languages
AI / ML / CV
Full-Stack Development
Databases
Tools
Cloud & Deployment
Research Skills
Professional Skills
Services
What I Offer
From research consulting to production-grade software — built with care.
AI & ML Solutions
Custom ML models, training pipelines, and AI integrations.
Computer Vision Apps
Image classification, detection, and medical imaging systems.
Research Assistance
Academic writing, literature review, and reproducible experiments.
Full-Stack Development
End-to-end web applications with React, Next.js, and Node.
Front-End Development
Beautiful, responsive, accessible UIs with modern frameworks.
Back-End & REST APIs
Robust APIs, authentication, and scalable database design.
Portfolio Websites
Premium personal sites for researchers and developers.
Custom Web Apps
Tailored applications built around your unique requirements.
UI/UX Prototyping
From wireframes to high-fidelity Figma prototypes.
Technical Documentation
Clear, structured docs for APIs, projects, and research.
Featured Work
Selected Projects
A mix of research prototypes and full-stack applications I've built.


PrivateExplainable RAG-VLM for Diabetic Retinopathy
Research framework combining Vision-Language Models with retrieval augmentation and explainability for early DR diagnosis.
Research
Publications & Ongoing Work
Currently focused on trustworthy AI for healthcare imaging.
Explainable Retrieval-Augmented Vision-Language Framework for Early Diabetic Retinopathy Diagnosis
A novel framework that combines Vision-Language Models with retrieval-augmented generation to deliver accurate and interpretable predictions on retinal fundus images. The goal is to assist clinicians with early-stage diabetic retinopathy detection while keeping the reasoning transparent.
Objectives
- Improve early-stage DR detection accuracy
- Provide visual + textual explanations
- Bridge clinical expertise with AI reasoning
Future Work
- Multi-disease generalization
- Clinical pilot study
- Publication in peer-reviewed venue
Future Publications
Targeting conferences in Medical AI and Computer Vision (MICCAI, CVPR-W).
Reading List
Multimodal LLMs, retrieval-augmented diagnosis, clinical XAI literature.
Research Interests
Trustworthy AI, healthcare, multimodal reasoning, foundation models.
Experience
Journey So Far
A growing track record across research and software engineering.
Student Researcher
Independent / AIUB
Investigating Explainable AI for medical image analysis, with a current focus on diabetic retinopathy diagnosis using VLMs and RAG.
Full-Stack Developer (Personal Projects)
Self-driven
Building production-grade web apps with React, Next.js, Node.js, and modern databases — focused on UX, performance, and clean architecture.
Open-Source Learner & Contributor
GitHub
Continuously learning by exploring open-source code, experimenting with new tools, and preparing for research collaboration opportunities.
Certifications
Learning & Credentials
Currently pursuing certifications across AI/ML and software engineering.
Coursera
Specialization tracks in AI, ML, and Cloud — in progress.
DeepLearning.AI
Specialization tracks in AI, ML, and Cloud — in progress.
Specialization tracks in AI, ML, and Cloud — in progress.
Microsoft
Specialization tracks in AI, ML, and Cloud — in progress.
IBM
Specialization tracks in AI, ML, and Cloud — in progress.
NVIDIA
Specialization tracks in AI, ML, and Cloud — in progress.
Open Source
GitHub Activity
Live from the GitHub API — repositories, languages and contribution history.
Contribution calendar
Most used languages
Contact
Let's Build Something Together
Open to research collaborations, internships, and freelance projects.