Generative AI Engineer - LLM Fine-tuning, Embeddings, and Evaluation
I developed several projects utilizing fine-tuning and embedding techniques on textual data, focusing on optimizing large language models for specific tasks. My work involved curating datasets, training models using human-generated data, and refining outputs through iterative evaluations. These efforts resulted in improved contextual accuracy and responsiveness of the AI systems built. • Integrated OpenAI and Hugging Face models for fine-tuning on customized textual datasets • Employed techniques such as embedding generation and conversational retrieval for targeted information extraction • Ensured quality of model responses through detailed evaluation and iterative feedback • Focused domains included resume optimization and medical chatbot responses