Summary
Lance Endres is a seasoned engineering leader specializing in computational dynamics, data analytics, and digital transformation across energy and technology sectors. Based in Spring, Texas, he currently serves as Manager of Digitalization, Automation, and Interpretation at CNPC USA, aligning engineering teams with strategic goals and fostering cross-functional collaboration. He blends rigorous research with practical software development, including a generalized Python library for high-frequency time-series analysis and an automated LLM-driven document summarization workflow that dramatically reduces data processing time. Previously, he led research at Baker Hughes, advancing physics-informed, hybrid models of drill-bit dynamics and coordinating overseas software teams, while also founding Ikosy Technologies to prototype desk-top pick-and-place automation. He holds a Ph.D. and M.S. in Structural Engineering from UC San Diego, plus certificates in AI/ML from UT Austin and Generative AI for Business from Great Learning. Across roles, he demonstrates mentorship, international collaboration, and a knack for turning complex requirements into scalable, auditable solutions.
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
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
University of California, San Diego