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Freelancer Overview

My experience with AI and data really took shape during my internship at the Ministry of Communication (DEPI). I spent that time getting hands-on with prompt engineering, which gave me a direct look at how models interpret instructions and where they need refinement. Beyond just the AI interaction, I worked heavily on the backend infrastructure that supports it, handling data warehousing and managing databases using Microsoft SQL Server and Azure SQL. This mix gave me a practical understanding of the full data pipeline, from raw storage to the final model input. +2 What helps me stand out is that I approach these tasks with an engineer's mindset. My background is actually in Automation Engineering, so I’m used to thinking about logic, process flow, and efficiency. I don't just label data; I use Python to build tools that solve problems, like the coordinate converter script I wrote to handle complex mapping tasks. That combination of technical scripting skills and a disciplined, process-oriented engineering approach allows me to handle training data with a level of precision and logic that goes beyond basic labeling.

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