RLHF specialist
Computer visiom
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I am an experienced AI/ML engineer and medical doctor with a strong background in data annotation, RLHF pipelines, and high-quality training data generation for both computer vision and NLP applications. My expertise includes semantic segmentation, bounding box annotation, and rigorous data quality protocols using tools like Labelbox, Python, and GitHub. I have maintained 99% annotation accuracy across 10,000+ edge cases, collaborating closely with ML engineers to refine data labeling workflows and ensure robust, safety-aligned AI models. My work spans medical and mental health domains, where I have architected and validated multimodal screening systems and clinical RAG pipelines, always prioritizing data integrity, model safety, and real-world deployment in healthcare environments.
Computer visiom
Professional Certificate, Artificial Intelligence Engineering
Specialization Certificate, Machine Learning
Associate Research Scientist / Applied AI/ML Engineer
AI/ML Engineer / Consultant