data annotation
• Labeled medical imaging datasets (ultrasounds, mammograms) for AI model training. • Annotated electronic health records (EHR) to improve clinical NLP models. • Assisted in developing AI-driven diagnostic tools for women’s health.
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knowledgeable about AI training and data labeling, with a focus on clinical NLP, EHR tagging, and medical imaging. adept at adding annotations to clinical notes, MRI, CT, and ultrasound scans to improve AI-driven healthcare models. Specialized in AI-assisted diagnosis for women's health, prenatal care, and reproductive medicine, ensuring high-quality labeled datasets. Proficient in medical data annotation tools, quality control, and healthcare compliance.
• Labeled medical imaging datasets (ultrasounds, mammograms) for AI model training. • Annotated electronic health records (EHR) to improve clinical NLP models. • Assisted in developing AI-driven diagnostic tools for women’s health.
Listening audio and writing down what is said in the audio. Also segmenting the text.
labeling every object in the provided image and fixing any that have the wrong label.
choosing a picture and coming up with a challenging challenge that will cause the model to falter or make mistakes when producing the response and assigning a score.
It involve navigating and inspecting the 3D scene from a different perspectives then draw 3D boxes around the identified objects to define their spatial extent. Annotate vehicle and human in the image section.
Doctor of Medicine, Obstetrics & Gynecology
Bachelor of Science, Biology & Chemistry
OBGYN Doctor
Resident Physician - OBGYN