Hourly NLP Strategy Consultant

I run a text-heavy platform that needs to sort and tag large volumes of content quickly and accurately. My immediate goal is to refine an end-to-end Natural Language Processing pipeline focused on text analysis and sentiment detection, with content categorization as the core output.

We will work together in paid hourly calls where I outline the current architecture, data sources, and business constraints. Your part is to propose battle-tested shortcuts, model choices, and deployment patterns that move the project forward faster than a conventional build. I’m interested in everything from rapid dataset labeling techniques and transformer fine-tuning (BERT, GPT variants, spaCy, Hugging Face) to lightweight inference strategies that can live inside an existing AWS stack. Clear explanations of trade-offs, evaluation metrics, and maintenance plans are essential because executive buy-in depends on measurable ROI.

If your guidance consistently translates into time savings or accuracy gains, the engagement will expand into a multi-year collaboration covering iterative model improvements, MLOps automation, and ongoing performance monitoring.

Typical session deliverables:
• A concise technical note or diagram summarizing the discussed solution
• A prioritized action list I can hand straight to my engineering team
• Pointers to relevant code samples or research papers

Availability for at least one 60-minute slot per week is preferred, but I’m flexible as long as momentum is maintained.