AI & Machine Learning Researcher specializing in healthcare applications, multimodal learning, and clinical risk assessment
I am an AI & Machine Learning researcher with a PhD in machine learning (defended Nov 2023), specialized in healthcare applications. With expertise in generative AI, multimodal learning, and clinical risk assessment, I bring extensive experience in developing LLM-based systems, computer vision, and medical image segmentation.
My work combines deep technical knowledge with practical applications, from developing NLP pipelines and speech-to-text transcription systems to creating sophisticated models for medical diagnosis and patient care optimization.
GenAI-powered medical assistant with multimodal processing capabilities, integrating OCR for blood test analysis and speech-to-text transcription.
Developed machine learning models for placenta segmentation and clinical risk prediction, improving accuracy in prenatal care assessments.
Comprehensive human movement modeling system using deep learning architectures with advanced data analysis techniques.
Built a Retrieval-Augmented Generation system with multimodal capabilities for enhanced healthcare document processing.
Comprehensive business management software for handling quotes, invoices, and client relationships with automated billing and reporting capabilities.
I'm always interested in discussing new opportunities in AI and machine learning, particularly in healthcare applications. Feel free to reach out!