video1.0<iframe src="https://www.loom.com/embed/083e31a301a94be5a0a06bca3fcf8b08" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/083e31a301a94be5a0a06bca3fcf8b08-37ffa8070ad5c980.gif221.033In this video, I share my journey in building AI-driven data systems, particularly in high-stakes environments like oil and gas drilling where downtime can cost hundreds of thousands of dollars daily. My experience includes leading the development of a data platform that transformed manual reporting into operational KPIs, reducing processing time from 12 hours to under 10 minutes, and implementing an automated pipeline that improved data reliability for decision-making. At Neighbors, I spearheaded a real-time system that now generates approximately $5 million monthly by optimizing operations. My focus has always been on converting messy real-world data into trustworthy outputs that drive significant operational and financial outcomes. I encourage you to consider how similar data-driven approaches can enhance our own operations.