Kelvin C.

Key Skills

Software

Other

Appen

Scale AI

Toloka

Top Subject Matter

Machine learning model evaluation for predictive analytics using structured linguistic and environmental features.

Backend system quality assurance and multilingual output validation supporting AI evaluation needs.

AI & Machine Learning Specialist – Predictive Analytics System (Remote)

Top Data Types

Text

Image

Video

Top Task Types

RLHF

Segmentation

Transcription

Computer Programming/Coding

Bounding Box

Text Generation

Freelancer Overview

AI & Machine Learning Specialist – Predictive Analytics System (Remote). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, N/A. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI & Machine Learning Specialist – Predictive Analytics System (Remote)

OtherText

Performed systematic evaluation of machine learning outputs using structured linguistic and environmental data to improve prediction accuracy and reliability. Conducted error analysis and edge-case identification to assess model performance and strengthen robustness. Designed evaluation metrics to measure reliability and consistency across model behaviors. • Performed output validation and correctness checks • Applied structured data annotation and preprocessing for high-quality training inputs • Improved prediction accuracy by 18% through iterative evaluation • Assessed performance weaknesses and reliability using defined metrics

2023 - 2023

Software Developer – Mavuno Project (Nairobi)

OtherText

Conducted comprehensive testing and quality assurance of backend systems by analyzing system outputs for correctness, performance, and reliability. Worked with multilingual teams to ensure clarity and precision in user-facing content and system responses. Performed structured problem analysis and debugging that supports AI evaluation workflows. • Verified output correctness and reliability • Assessed performance impacts on system responses • Supported multilingual content clarity for user-facing output • Performed debugging and structured analysis applicable to evaluation tasks

2022 - 2022

Education

Work History