Key Skills

Software

Label Studio

Prodigy

Snorkel AI

Other

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Question Answering

RLHF

Freelancer Overview

I am an Apprentice Electrical Engineer at Carrier, the global leader in HVAC, refrigeration, and building solutions, currently pursuing a Master’s in Electrical Energy, Electronics, and Automation at Claude Bernard University Lyon 1. My work at Carrier involves analyzing short-circuit currents, developing standardization procedures, and supporting qualification tests, all of which have strengthened my rigor in technical verification, safety compliance, and structured problem-solving. Across my academic and professional experience, I have developed strong skills in circuit and system analysis, control theory, and power systems, supported by proficiency in Python (NumPy, Pandas, SymPy, SciPy), Matlab, and AutoCAD Electrical. I apply these tools to validate engineering calculations, simulate dynamic systems, and ensure data integrity—core skills for AI model evaluation and QA. In AI training contexts, I specialize in evaluating and refining model-generated engineering reasoning, ensuring that outputs are accurate, consistent, and pedagogically sound. Experienced with Label Studio, Prodigy, and Snorkel AI, I bring a disciplined engineering approach to prompt evaluation, SFT, RLHF, and quality assurance, helping AI systems reason safely and reliably in technical domains such as circuits, control, and power systems.

Labeling Experience

Education

Work History