Kelvin V.

Key Skills

Software

Labelbox

Scale AI

CVAT

Top Subject Matter

Nlp Domain Expertise

computer vision

and reinforcement learning from human feedback for generative AI

Top Data Types

Text

Image

Top Task Types

RLHF

Entity (NER) Classification

Classification

Freelancer Overview

AI Data Annotation Specialist at DataForge AI Solutions. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Scale AI, and CVAT. Education includes Master of Science, University of Nairobi (2021) and Bachelor of Science, Kenyatta University (2019). AI-training focus includes data types such as Text and labeling workflows including RLHF, Entity (NER) Classification, and Classification.

Labeling Experience

AI Data Annotation Specialist at DataForge AI Solutions

LabelboxTextRLHF

Annotated and labeled large-scale text, image, and audio data to support supervised and reinforcement learning for NLP and computer vision models. Completed RLHF workflows including response ranking, preference labeling, and comparative evaluation for large language models. Led quality assurance checks to correct systematic labeling errors and reduce downstream model error rates while refining annotation schemas for ambiguous cases. • Implemented RLHF response ranking and preference labeling for LLM training • Conducted QA/QC reviews and corrected systematic labeling errors • Refined annotation schemas with ML engineers using model performance metrics • Managed annotation delivery using Labelbox, Scale AI, and CVAT against SLA timelines.

2023 - 2026

Machine Learning Data Analyst at TechBridge Africa

TextEntity (NER) Classification

Curated and pre-processed multilingual text corpora to support intent classification and named-entity recognition model training. Designed entity labeling taxonomies for e-commerce and fintech domains covering 40+ entity types across 200,000+ sentences. Coordinated labeling with external crowdsource annotators by providing onboarding training and ongoing feedback to maintain quality standards. • Built NER and intent-labeled datasets across English and Swahili • Defined entity type taxonomies for e-commerce and fintech • Supported data versioning and reproducibility using DVC workflows • Generated synthetic augmentation prompts to address class imbalance.

2022 - 2023

Data Science Intern at Kenya National Bureau of Statistics (KNBS)

TextClassification

Assisted with cleaning and structuring large government survey datasets for statistical analysis and predictive modeling. Labeled socioeconomic survey responses for sentiment and topic classification to support policy research. Applied exploratory data analysis techniques to identify data quality issues and outliers that could impact downstream modeling. • Performed sentiment and topic labeling for survey responses • Helped structure and clean government datasets for modeling • Used Python and R for EDA and outlier detection • Supported predictive modeling and analysis through improved data quality.

2021 - 2021

Education

Work History