AI/ML Engineer
Computer Scientist with minor in AI, specializing in medical AI and machine learning applications. I develop advanced CNN models for healthcare diagnostics, build intelligent systems with LLMs and RAG architectures, and collaborate with medical and financial institutions on cutting-edge algorithms.
PINNED PROJECTS
The pinned projects displays my work for easy reference.
Bachelor's thesis research developing advanced convolutional neural networks for automated melanoma detection. Achieved high accuracy in medical image analysis using NFNet deep learning architecture for early skin cancer identification and classification.
Intelligent financial advisory system utilizing Model Context Protocol (MCP) and Graph RAG architecture to seamlessly integrate Large Language Models with financial tools. Enables autonomous market analysis, personalized investment strategies, and real-time financial insights through graph-driven knowledge retrieval and agent workflows.
Custom LoRA (Low-Rank Adaptation) model for Stable Diffusion that generates authentic 35mm film photography aesthetics. Fine-tuned to capture the distinctive grain, color grading, and nostalgic characteristics of analog film photography with high fidelity and artistic quality.
Collaborative research project with university and private gastroenterology clinic developing AI models for automated detection and classification of gastrointestinal conditions using advanced YOLOv8 object detection combined with U-Net segmentation techniques on endoscopy imaging data.
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