Full-Stack Developer & AI Engineer – Data Labeling/AI Training Tasks
Developed and implemented Retrieval-Augmented Generation (RAG) workflows to enhance AI chatbot responses using large language models. Designed systems for automated fine-tuning and prompt engineering to improve context-aware outputs in production settings. Focused on leveraging domain-specific knowledge through iterative testing and performance analysis. • Built production pipeline for context-based prompt and response pairing. • Optimized chatbot handling of structured user queries from text data. • Automated the refinement of training data for LLM performance improvement. • Applied vector database techniques for dynamic information retrieval.