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Freelancer Overview

I am a full-stack engineer with a strong background in building AI-powered applications and integrating large language models (LLMs) into real-world systems. My hands-on experience includes developing autonomous AI pentesting frameworks and ML-based intrusion detection platforms, where I worked extensively with Python, FastAPI, and various LLM APIs to automate tasks and enhance data-driven decision-making. I am adept at designing and implementing robust backend systems for handling, processing, and validating large volumes of data, which is critical for high-quality AI training datasets. My expertise also covers vulnerability assessment and automation using scripting and tools like Nmap and Bash, ensuring data integrity and security throughout the annotation process. Passionate about leveraging AI and developer tools, I am eager to contribute my skills to projects focused on data labeling, annotation, and the development of reliable AI training data pipelines.

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