Computer vision
Image classification, object detection, and medical image analysis.
SEEING PATTERNS IN IMAGESAI Engineer · Islamabad / Rawalpindi, Pakistan
I’m Moiz ud Din. I build AI-powered applications across computer vision, deep learning, machine learning, and NLP — from model development to application integration.
Research-led. Built to be useful.
I’m an AI Engineer focused on designing and developing intelligent systems. My work spans applied AI research and practical software: preparing data, developing and evaluating models, and integrating AI into applications and APIs. I’m especially interested in computer vision, healthcare applications, and responsible, human-centered AI.
Core capabilities
A cross-section of the methods and systems I explore through engineering and applied research.
Image classification, object detection, and medical image analysis.
SEEING PATTERNS IN IMAGESNeural networks, attention mechanisms, and model evaluation.
LEARNING REPRESENTATIONSData preparation, feature engineering, training, and evaluation workflows.
FROM DATA TO MODELSText analysis, semantic matching, and language-powered applications.
WORKING WITH LANGUAGEConnecting models, APIs, and applications into useful AI workflows.
ENGINEERING THE WHOLE↳ Methods and tools vary by project; see each project for its specific stack.
Projects from GitHub
Browse the public AI and machine-learning projects on my GitHub. Related OralVision repositories are grouped together; one additional project was shared directly.
Published research · 2026
This paper presents a deep learning framework for multi-class oral disease classification, exploring attention-enhanced feature extraction to support automated analysis of oral images. The study evaluates an EfficientNet-B0 architecture with Factorized Coordinate Attention using accuracy and macro-F1, and investigates generalization through external evaluation.
Reported results are for the paper’s internal test evaluation; they are not external evaluation results or a claim of clinical diagnostic performance.
Read the publicationProfessional experience
DeveloperHubs Corporation
Contributed to machine-learning and AI development tasks, exploring data processing, model development, and evaluation workflows.
CodeAlpha
Worked on practical machine-learning implementation tasks using Python, including data preprocessing, model training, and evaluation.
Technical toolkit
Technologies and capabilities used across my projects. Specific tools vary by project.
Python · SQL · JavaScript · TypeScript
TensorFlow · PyTorch · Keras · Scikit-learn · XGBoost · NumPy · Pandas
OpenCV · YOLO · U-Net · EfficientNet · Image classification · Object detection · Segmentation · Attention mechanisms · CBAM · Coordinate Attention
LLMs · RAG · Hugging Face Transformers · LangChain · Prompt engineering · AI chatbots
FastAPI · Flask · REST APIs · Supabase · Flutter · Streamlit · Gradio
Git · GitHub · Jupyter Notebook · Google Colab · Kaggle · Hugging Face
Academic background
SZABIST University · Islamabad, Pakistan
Open to opportunities and collaboration
Get in touch about AI engineering, applied research, or a project worth exploring.
Email me