Summary
Lance Endres is a Manager of Digitalization, Automation, and Interpretation with 11 years of expertise translating computational mechanics research into practical software and engineering solutions for the energy sector. He combines a Ph.D.-level background in structural engineering and decades of hands-on work in drill-bit dynamics, FEA, and signal processing with strong team leadership, project management, and international collaboration experience. Lance has a track record of accelerating programs and cutting costs—securing licenses and open-source tools to advance modeling efforts by five years and save $1M—and of building reusable software libraries that reduce analysis coding by up to 95%. He blends physics-based modeling with data-driven techniques, having scaled hybrid C++/ML models and automated large-scale data summarization with LLM prompts to slash reporting time by 95%. Equally comfortable in the lab, on a rig, or architecting software, he founded a hardware startup and continually upskills in AI/ML and generative models to bring cutting-edge automation into engineering workflows.
10 years of coding experience
21 years of employment as a software developer
B.S., Civil Engineering, B.S., Civil Engineering at Lawrence Technological University
University of California, San Diego
Certificate, Artificial Intelligence and Machine Larning, Certificate, Artificial Intelligence and Machine Larning at The University of Texas at Austin
Post Graduate Certificate, Generative AI and LLMs for Business with Microsoft Azure, Post Graduate Certificate, Generative AI and LLMs for Business with Microsoft Azure at Great Learning