Peter Mwaura
@petermwaura2
Detail-oriented AI Data Annotator specializing in vehicle license plates.
What I'm looking for
I am a detail-oriented Image and Video Annotation Specialist with over 2 years of experience in automotive AI data labeling, particularly in vehicle license plate identification and bounding box annotation. My work has been recognized for delivering pixel-perfect results across platforms like Remotask and Outlier AI, achieving an impressive 99.8% QA accuracy rate. I am adept at adhering to strict guidelines and working independently to enhance training data for autonomous systems.
In my role as an AI Data Annotator, I have tagged over 1,200 vehicle license plates across various video and image datasets, ensuring frame-by-frame accuracy. My expertise in video annotation has allowed me to analyze and annotate over 500 video clips, while my commitment to quality assurance has led to a high success rate in audits. Additionally, I have automated repetitive tasks using Python scripts, which has significantly reduced annotation time by 25%.
Experience
Work history, roles, and key accomplishments
AI Data Annotator
OutlierAI & Remotask
Jan 2023 - Jan 2024 (1 year)
Detail-oriented AI Data Annotator specializing in vehicle license plate identification and video annotation. Achieved a 99.8% QA accuracy rate while tagging over 1,200 license plates and analyzing 500+ video clips. Proficient in process optimization through Python automation.
Census Enumerator
Kenya National Bureau of Statistics
Sep 2019 - Oct 2019 (1 month)
Validated demographic data for over 700 households with 100% accuracy, showcasing meticulous attention to detail and strong data validation skills.
Education
Degrees, certifications, and relevant coursework
Coursera
Certification, Artificial Intelligence
2024 -
Completed Google AI Fundamentals course to enhance understanding of AI principles and applications.
Chuka University
Bachelor of Science, Applied Computer Science
2019 - 2023
Developed a license plate detection prototype using OpenCV as part of the curriculum in Applied Computer Science.
Availability
Location
Authorized to work in
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