AI Trainee, Generative & Agentic AI Track, Digital Egypt Pioneers Initiative (DEPI)
Text
Fine-tuningI completed a 6-month intensive training focused on Generative AI, LLMs, retrieval-augmented generation systems, and multi-agent architectures, where I engaged in direct AI model training tasks. My responsibilities included hands-on work fine-tuning large language models and integrating real-world data for training and evaluation workflows. This role involved annotating, curating, and quality-controlling datasets to ensure optimal AI system performance. • Worked with both proprietary and open datasets to support LLM performance. • Conducted fine-tuning and evaluation cycles on LLMs for benchmark tasks. • Designed and implemented prompt engineering and testing frameworks for agentic architectures. • Collaborated with team members to improve dataset labeling quality and efficiency.