AI & LLM Orchestration Engineer
TextPrompt Response Writing SFT
Designed and implemented multi-step LLM orchestration frameworks utilizing annotated text data for AI model training and evaluation. Built Retrieval-Augmented Generation (RAG) pipelines involving structuring and labeling both structured and unstructured text data. Developed prompt-structured and deterministic LLM pipelines for precise AI output, including prompt engineering for various tasks. • Developed structured labeling routines for entity extraction and text classification
• Led internal observability work to track AI labeling quality
• Integrated labeled datasets into orchestration and RAG training flows
• Ensured labeled data was production-ready for business automation scenarios
Designed and implemented multi-step LLM orchestration frameworks utilizing annotated text data for AI model training and evaluation. Built Retrieval-Augmented Generation (RAG) pipelines involving structuring and labeling both structured and unstructured text data. Developed prompt-structured and deterministic LLM pipelines for precise AI output, including prompt engineering for various tasks. • Developed structured labeling routines for entity extraction and text classification • Led internal observability work to track AI labeling quality • Integrated labeled datasets into orchestration and RAG training flows • Ensured labeled data was production-ready for business automation scenarios
2021 - 2023