Insights
Notes on practical AI development, machine learning, and adoption.
Short articles and project notes on moving from AI interest to working systems with data quality, workflow design, governance, and security in view.
Machine Learning
Estimating grass curing from field photographs
A proof of concept using DINOv3, VLM-assisted review, human label auditing, and seasonal calibration.
Local AILocal medical dictation workflow with RAG
Reducing outsourced processing and cyber exposure with local models, speech-to-text engines, and retrieval workflows.
DeliveryHow to evaluate whether an ML project is production-ready
A practical checklist for data, validation, deployment constraints, monitoring, and human review.