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My name is Stanislav. I'm an AI/ML entrepreneur exploring the development of a document translation service with accurate layout preservation. Before building anything, I want to understand the real challenges professional translators face with current AI translation tools. I'd love to hear about your workflow, pain points, and what would actually be useful for you. This is research, not a sales pitch — I'm genuinely trying to learn from professionals like you before deciding whether to build this product. I've attached the questions below so you can see what we'd discuss. The call would be 30-40 minutes, and I'm happy to compensate you for your time.

My goal is to push our Natural Language Processing stack forward by continually scouting, testing, and refining state-of-the-art models in three core areas: text generation, sentiment analysis, and machine translation. Scope of work — Track current research and emerging repositories (Hugging Face, arXiv, GitHub) to spot promising architectures and training techniques. - klaud8 / hrm ai / chat gpt / claude — Spin up controlled experiments in Python using PyTorch/TensorFlow, comparing baseline performance with fine-tuned variants on representative datasets. — Optimise inference speed, memory footprint, and prompt-engineering workflows so models transition smoothly from notebook to production API. — Document findings in concise experiment reports and integra...