Kevin Karenge
@kevinkarenge
Highly skilled Data Annotation Specialist with expertise in machine learning.
What I'm looking for
I am a highly skilled Data Annotation Specialist with proven expertise in labeling diverse datasets for machine learning applications. My proficiency in using tools like Labelbox and Annotate allows me to deliver precise and high-quality annotations. I have extensive experience handling image, video, and audio datasets, and I am deeply committed to maintaining data quality, privacy, and security.
Throughout my career, I have demonstrated excellent problem-solving skills and attention to detail, thriving in fast-paced, collaborative environments. In my recent role at Cloud Factory, I performed precise labeling of datasets for training machine learning models, managed large-scale datasets, and collaborated with cross-functional teams to meet project deadlines. My dedication to data integrity and compliance with privacy regulations has consistently enhanced model training outcomes.
Experience
Work history, roles, and key accomplishments
Data Annotation Specialist
Cloud Factory
Aug 2023 - Jun 2024 (10 months)
As a Data Annotation Specialist for the Game Changer Project, I performed precise labeling of diverse datasets for machine learning, managed large-scale datasets, and collaborated with teams to ensure data quality and compliance with privacy regulations.
Junior Data Annotator
Cloud Factory
Jun 2022 - Jul 2023 (1 year 1 month)
In the role of Junior Data Annotator for the ReloMetrics Project, I assisted in labeling sports datasets, conducted quality assurance checks, and supported annotation workflows while adhering to data privacy standards.
Education
Degrees, certifications, and relevant coursework
Technical University of Mombasa
Bachelor's in Information Technology, Information Technology
2014 - 2019
Completed a Bachelor's degree in Information Technology, focusing on various aspects of IT including software development, data management, and system analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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