Open to opportunities

Peter Kimani

@peterkimani3

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Data annotation specialist improving ML data quality and efficiency through process optimization.

Kenya

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What I'm looking for

I seek roles where I can apply and scale annotation best practices, collaborate with ML teams, and improve data quality and model performance.

I am a data annotation specialist with hands-on experience improving machine learning datasets and workflows. I have led teams and projects that measurably improved model performance and labeling efficiency.

As a freelance data annotator since 2019, I have labeled text, image, and audio data using tools such as Labelbox and CVAT, and collaborated closely with data scientists to meet project requirements.

I served as Vice President of my university AI Club, recruiting members and organizing workshops, speaker events, and hackathons to build community and practical skills.

I hold a Bachelor of Procurement and Supplies Management (expected Dec 2020), completed courses and certifications in machine learning and data analysis, and am focused on scalable, accurate annotation methods and ethical AI practices.

Experience

Work history, roles, and key accomplishments

Current

Data Annotation Specialist

Current

Freelance

Jan 2019 - Present (6 years 8 months)

Conducted detailed data annotation for text, image, and audio ML projects, leading a team to improve sentiment model accuracy by 15% and optimizing workflows to reduce annotation time by 20%. Collaborated with data scientists to design multilingual annotation methods and ensure labeling quality.

Data Annotation Labelbox CVAT Python SQL TensorFlow Workflow Optimization Multilingual Labeling

Education

Degrees, certifications, and relevant coursework

Murang'a University of Technology

Bachelor of Procurement and Supplies Management, Procurement and Supplies Management

Grade: 3.6 / 4.0

Activities and societies: Member and Vice President of the AI Club; participated in workshops, speaker events, and hackathons.

Bachelor of Procurement and Supplies Management expected December 2020 with coursework in data analysis, machine learning, natural language processing, and database management; achieved a 3.6/4.0 GPA and Dean's List honors.