Midland, Texas, United States
I’m a Process Engineer at Oxy with 2 years of experience in U.S. onshore operations, including CO₂ gas plants. I hold a degree in Chemical Engineering and a Master’s in Engineering Management from USC. I focus on making energy systems more efficient and cost-effective, and I’m exploring machine learning to bridge process engineering and AI. I’m open to discussing AI and the energy transition.
-Performed detailed process simulations, capacity checks, and heat-loss analyses to optimize equipment reuse, reducing CAPEX by $3.1MM -Built an economic modeling tool to guide selection of facility conditioning systems using site-specific fluid data, driving ~$300M/year in avoided costs -Completed 25+ on-demand engineering analyses (NPSH, relief sizing, line sizing, process troubleshooting) across multiple onshore assets -Designed and delivered digital process tools leveraging simulation-derived correlations to improve operability, uptime, and standardization
Assess the accuracy and relevance of AI-generated content in mathematics. Craft and answer domain-specific math questions, and evaluate and rank AI responses to ensure quality and reliability.