ENGINEERING DISCIPLINE

Machine Learning & Computer Vision

Hands-on experience spanning anomaly detection, machine learning, computer vision, industrial AI, forecasting and NLP in multiple environments.

MY APPROACH

Turn patterns into practical intelligence.

Predictive maintenance and sensor analytics

Spline-based normal behaviour modelling

Computer vision and object detection

NLP and intelligent document processing

Recommendation and classification systems

APPLIED IN PRACTICE

Using operational data to make equipment condition more understandable and actionable.

Teaching software to recognize visual defects and extract practical operational insight.

Making large collections of choices more relevant to individual users.

Extracting structure and meaning from documents that were never designed for machines.

LET'S COLLABORATE

Let's discuss the problem, constraints and what a practical solution might look like.