I am a specialized Drilling and Machine Learning Engineer dedicated to bridging the gap between traditional oilfield operations and the future of autonomous drilling. With an extensive background in well design, integrity analysis, and rig-site supervision, I have managed the construction of complex wells, navigating the high-stakes challenges of stuck pipe, total losses, and NPT.

What sets me apart is my ability to translate years of experience into digital solutions. As a practicing Data Scientist, I have successfully applied advanced machine learning algorithms to real-world operational data, developing everything from Natural Language Processing (NLP) pipelines for auditing Daily Drilling Reports to Time Series Forecasting for predicting drilling dysfunctions before they occur.

I am a seasoned consultant and instructor who has mastered industry-standard tools like Landmark and Python-based ML frameworks. I am passionate about demystifying the "mystery" of AI for the energy sector, helping engineers and supervisors transform raw sensor data into actionable, cost-saving insights.

In my courses, you won't just learn to code; you will learn how to build the intelligent drilling systems of tomorrow.