Mathieu

Key Skills

Software

Labelbox

Label Studio

Mercor

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Text

Top Task Types

Text Generation

Evaluation Rating

Question Answering

Function Calling

Freelancer Overview

I am a backend engineer with 4+ years of experience building scalable APIs, infrastructure tooling, and testing frameworks, with hands-on experience optimizing data workflows and building robust systems for high-traffic platforms serving 110+ countries. My expertise includes working with Python, SQL, PostgreSQL, TypeScript, and REST APIs to manage and structure large datasets, as well as developing backend services and internal tools that enable efficient data integration and processing across distributed architectures.

Labeling Experience

Technical Annotation Lead

LabelboxTextQuestion AnsweringFunction Calling

Led a team of 5 annotators creating training data for function-calling capabilities in AI assistants. Wrote structured JSON schemas, validated API call sequences, and ensured proper parameter extraction from natural language queries. Delivered 8,000+ annotated examples covering REST APIs, database queries, and cloud service integrations.

Led a team of 5 annotators creating training data for function-calling capabilities in AI assistants. Wrote structured JSON schemas, validated API call sequences, and ensured proper parameter extraction from natural language queries. Delivered 8,000+ annotated examples covering REST APIs, database queries, and cloud service integrations.

2025 - 2025

Senior Code Annotation Specialist - LLM Fine-tuning

Scale AIComputer Code ProgrammingText GenerationEvaluation Rating

Contributed to fine-tuning large language models for code generation capabilities. Tasks included writing high-quality Python, JavaScript, and Java code samples, rating model outputs for correctness, efficiency, and best practices adherence. Evaluated ~2,500 code completions monthly with 95%+ agreement rate. Participated in red-teaming exercises to identify edge cases and potential security vulnerabilities in generated code.

Contributed to fine-tuning large language models for code generation capabilities. Tasks included writing high-quality Python, JavaScript, and Java code samples, rating model outputs for correctness, efficiency, and best practices adherence. Evaluated ~2,500 code completions monthly with 95%+ agreement rate. Participated in red-teaming exercises to identify edge cases and potential security vulnerabilities in generated code.

2025 - 2025

Education

Work History