Outlier AI
Outlier Data annotation
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I am a detail-oriented engineer and PhD candidate with hands-on experience in data analysis, process validation, and quality assurance within highly regulated environments, including medical sensor systems and manufacturing. My work has involved developing and executing experimental protocols, calibrating and verifying sensor data, and maintaining rigorous standards of data integrity and compliance. I am skilled in technical report writing, root cause analysis, and the creation of SOPs, ensuring accuracy and clarity in all documentation. With a solid foundation in Python and a strong focus on structured problem-solving, I am passionate about supporting AI training data initiatives that require meticulous data labeling, annotation, and validation, particularly in domains such as medical devices and advanced manufacturing.
Outlier Data annotation
Doctor of Philosophy, Engineering Innovation
Master of Science, Engineering Operations and Sustainability
Systems and Mechanical Engineer
Chemical Engineer