DATA SCIENCE · AI ENGINEERING · APPLIED AI
Building intelligent, explainable, and practical AI systems across healthcare, computer vision, robotics, and software.
SELECTED WORK
Four representative case studies across healthcare AI, autonomous agents, medical computer vision, and interactive machine learning.
Secure & Explainable Healthcare AI
A secure and explainable AI graduation project focused on data-driven clinical decision support using structured healthcare data.
End-to-End AI Gameplay Agent
AI agent trained from expert gameplay and strengthened with recovery training, Top-5 one-piece lookahead, and a limited safety filter.
Dental X-Ray Computer Vision
Two applied dental-imaging workflows covering tooth instance segmentation with YOLOv8 and dental-caries semantic segmentation with a custom PyTorch U-Net.
Interactive Machine Learning Exploration
An interactive Gradio environment for comparing classification and regression models through decision boundaries, ROC-AUC, confusion matrices, learning curves, and controlled noise experiments.
ABOUT ME
I'm an AI Engineer and Data Scientist focused on building practical, explainable, and technically grounded systems across machine learning, computer vision, backend integration, and applied research.
My work connects experimentation with engineering: evaluating models, translating ideas into usable workflows, and building systems that are clear enough to inspect, test, and improve.
RESEARCH & ACADEMIC WORK
Current interests include healthcare AI, explainable machine learning, model evaluation, computer vision, and secure AI systems.
Selected academic work spans healthcare AI, explainable machine learning, model evaluation, computer vision, and secure AI systems.
Detailed research materials are shared only when appropriate for public release.SELECTED CREDENTIALS
A small selection of the strongest credentials. The full archive includes certificates, identifiers, supporting documents, and verification links where available.
RESUME CENTER
Start with the general professional resume or choose a specialized version for AI/backend engineering, data science, backend engineering, or software engineering.
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