Moses L.

Key Skills

Software

AWS SageMaker

Appen

Argilla

Top Subject Matter

No subject matter listed

Top Data Types

Text

Video

Document

Top Task Types

Classification

Entity (NER) Classification

Text Generation

Question Answering

Text Summarization

Transcription

Computer Programming/Coding

Data Collection

Prompt + Response Writing (SFT)

Evaluation/Rating

Freelancer Overview

With over 10 years of experience as an AI-Augmented Software Engineer and Data Analysis Professional, I have developed deep expertise in data transformation, quality assurance, and analytical modeling — skills that translate directly into high-quality AI training data workflows. Across enterprise engagements at Katalon and Google, I built rigorous data validation processes, structured and cleaned large-scale datasets, and authored detailed methodology documentation — ensuring data integrity and consistency at every stage of the pipeline. I have worked hands-on with AI-assisted tools including GitHub Copilot, Claude AI, Cursor, and Microsoft Copilot, giving me a strong understanding of how quality training data shapes model behavior and output reliability. My background in prompt engineering and AI evaluation further positions me to contribute meaningfully to labeling projects that require nuanced judgment, instruction-following assessment, and response quality review. I bring a meticulous attention to detail, a structured approach to ambiguous problems, and a demonstrated ability to apply and document business logic clearly — qualities critical in data labeling environments where precision and consistency directly impact model performance. My cross-industry experience spanning healthcare, finance, insurance, logistics, and software delivery gives me the contextual range to label diverse datasets accurately and efficiently.

Education

Work History