Vincent Mwangi
@vincentmwangi
Results-driven data labeling specialist with machine learning experience.
What I'm looking for
I am a dedicated data labeling specialist with hands-on experience in CVAT annotation and QA validation for machine learning projects. My journey in this field has allowed me to develop a keen eye for detail and a strong commitment to quality. I have successfully annotated over 10,000 text samples for sentiment analysis and conducted audits that identified and corrected 15% of labeling errors, ensuring high accuracy in data preparation.
My educational background in Electrical Engineering from Kenyatta University has equipped me with a solid foundation in machine learning fundamentals, data structures, and signal processing. I thrive in collaborative environments and am passionate about leveraging my skills to contribute to innovative projects that harness the power of machine learning.
Experience
Work history, roles, and key accomplishments
Image Annotation and QA Project
Coffee Garden Drive
Feb 2025 - May 2025 (3 months)
Annotated over 500 images daily using CVAT for object detection tasks. Conducted thorough audits, identifying and correcting 15% of labelling errors to ensure data accuracy.
Text Data Labelling
Kenyatta University
May 2024 - Sep 2024 (4 months)
Annotated more than 10,000 text samples for sentiment analysis, contributing to improved model performance. Validated labels using comprehensive QA checklists, consistently achieving a 95% inter-annotator agreement.
Education
Degrees, certifications, and relevant coursework
Kenyatta University
Bachelor of Electrical Engineering, Electrical Engineering
Pursued a bachelor's in Electrical Engineering. Relevant coursework included machine learning fundamentals, data structures, and signal processing.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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