Husam brings over a decade of experience at the intersection of Petroleum Engineering, Data Science, and Software Development. He's developed machine learning models and pipelines, built custom software from the ground up, and established teams that incorporate global talent, all focused on driving innovation and efficiency. His expertise includes designing advanced analytics solutions that leverage machine learning to optimize operations and deliver multimillion-dollar improvements across the energy sector. A builder at heart, Husam thrives on how products and processes can be reimagined, continually seeking new ways to integrate technology into traditional industries. Outside of work, he is a father and husband, with family being central to his life. In his downtime, you'll find him playing basketball or on the hunt for the next great coffee and pastry spot.

A geoscientist by training, Noah spent his university days in the field mapping outcrops and collecting samples to analyze back in the lab. His graduate thesis explored machine learning applications for interpreting deep-water reservoirs, which led him to Houston, where he spent 3+ years at ExxonMobil building similar solutions for seismic interpretation. He then spent two years in midstream water operations creating data-driven tools that improved forecasting, planning, and operational efficiency. These days, Noah is still tackling O&G challenges or diving into solo projects—often map-based—that let him follow his curiosity, build useful tools, and keep learning. In his free time, he’s cooking, playing tennis, or out catching waves.