LLM / AI Workflow Expert Needed for Large TXT File Analysis

If this task can be completed, along with payment I will provide a very positive review and potential future works with much higher budgets. I’m looking for someone experienced with LLM workflows and large-document AI processing. I have very large raw .txt files that need to be analyzed using prompts/scans. The goal is not simply to paste a huge file into ChatGPT, but to find a practical and efficient way to run prompts across large text datasets. I’m looking for someone who understands methods such as: Chunking large TXT files Running prompts in batches Retrieval/RAG-style workflows Processing many documents efficiently Extracting structured results from large text Avoiding unnecessary token usage Designing workflows for one-time large-scale scans The files may be very large, so I need someone who can advise on the best practical approach before the full dataset is processed. The goal is to run many prompts/scans over the text and retain the useful results, without necessarily needing to store or repeatedly reload the entire raw dataset each time.