Summary

Refinery Optimization and Product Planning

Apply machine learning techniques to optimize complex and profitable industrial processes
Experience using Aspen PIMS and other LP technologies to optimize refinery operations and blending activities
Coordinate gasoline and distillate blending activities for major U.S. Gulf Coast refinery
Calibrate and maintain refinery process models for all 125 active U.S. refineries leveraging nearly 25,000 publicly available data points per quarter
Interface with stakeholders to interpret results and bolster data driven decisions

Process Engineering and Equipment Strategy

Experience using Aspen HYSYS and other process simulation technologies to develop, maintain, and optimize steady-state process unit models
Direct support experience for crude units, FCC, and cumene fixed bed alkylation unit
Familiarity with operational objectives and limitations of nearly all fuels units
Experience with process equipment sizing for heat exchangers and distillation trays
Integrated OSIsoft PI and LIMS data to monitor system health and drive business decisions

Experience

Cenovus

Houston, TX

2025 - 2025

Market Analytics Specialist

2025 - 2025

Performed market supply and demand analysis to support trading and marketing activities
Updated and maintained propriety crude valuation models to guide discussions on refinery specific fair value pricing, economics, economic run rates, and transportation arbs.
Translate refinery news, maintenance schedules, and unplanned outages into actionable intel for crude and refined product traders

Imubit

Houston, TX

2022 - 2025

Senior Process Optimization Engineer

2022 - 2025

Worked closely with client teams both remotely and on-site to leverage their data to explore the process and economic drivers
Applied Chemical Engineering fundamentals to machine learning technology to continuously optimize live manufacturing processes
Defined process optimization strategies in collaboration with internal and client economic teams
Developed a deep understanding of the usage patterns and helped shape its future roadmap
Interacted with clients to incorporate feedback and better apply machine learning techniques

Baker & O'Brien

Houston, TX

2017 - 2022

IT Strategy Lead

2021 - 2022

Interviewed, negotiated with, and recommended a managed IT service provider
Coordinated transition from outgoing IT staff and incoming managed IT service provider
Intimately involved in project selection, justification, and coordination

Software Product Manager

2020 - 2022

Product manager for commercial desktop application PRISM™
Set software strategy, vision, and marketing objectives
Interface directly with clients and business leaders to understand objectives and needs
Develop and audit internal metrics for software quality and calibration productivity

Engineering Consultant

2019 - 2022

Worked on multiple client projects leveraging experience and technical capabilities to delivery high quality work on time and on budget
Leveraged self-developed LP framework on multiple 6 figure assignments
Conducted market analysis on nearly all refining centers in the U.S.
Developed IMO2020 predictive model and presented results at COQA industry conference

Software Developer

2018 - 2022

Lead developer on 85,000 line code base conversion from VB6 to VB.Net
Migrated database backend from 32-bit Microsoft Access to SQLite
Optimized runtime issues resulting in a nearly 80% runtime reduction
Data entry automation using browser automation, API end points, and direct HTTP requests
Created LP framework which reduces the development time and complexity for LP studies

Refinery Modeling Specialist

2017 - 2022

Maintain and improve refinery process models for all 125 U.S. refineries
Parse nearly 25,000 data points per quarter to create industry look back
Interface with software subscribers to share industry insights
Leveraged automation and LP framework to eliminate 200 man-hours per month

Flint Hills Resources

Corpus Christi, TX

2012 - 2017

E&P Gasoline Blender

2016 - 2017

Executed weekly LP studies to determine buy / sell plans for gasoline blending intermediates, calibrate gasoline recipes, and drive economic decision making for project support
Identified and remediated historically unoptimized gasoline opportunity worth $12MM / yr
Championed RBOB terminal specification change worth $3.5MM / yr
Led project justification effort for $5.0MM / yr blending debottlenecking project
Overhauled Gasoline LP model resulting in improved accuracy and profitability
Created and automated blending metrics and lookback process
Temporary distillate planner coordinating all jet and diesel blending activities

E&P LP Model Development

2015 - 2016

Responsible for improving existing LP accuracy. Improvement focused on better representation of unit constraints, validating and updating flow routing, and improving yield profiles
Created tools and statistical approach for integrating OSIsoft PI and lab data (LIMS)
Used multivariant regression analysis to develop and implement unit vectors for five hydrotreaters, two FCCs, coker, naphtha reformer, and hydrocracker units
Coordinated blend study which improved non-linear blending interactions of gasoline blendstocks which reduced deviation between predicted and actual by more than 2x

Strategic Reliability Engineer

2013 - 2015

Owned equipment strategy for FCC, HF alky, cumene, and coker units
Executed root cause failure analysis (RCFA) and resolved failure modes
Developed work scope and strategy for cumene unit turnaround
Created and delivered company-wide training sessions on Weibull and predictive models

Process Engineer

2012 - 2013

Aspen HYSYS site lead for process unit modeling
Supported FCC and cumene units
Mentored four process engineers as temporary team lead
Created unit monitoring tools, automated monthly reports, and created visualization template for unit monitoring that became base expectation for all process engineers
Championed emissions reduction effort via FCC fullburn transition. Resulting documentation and justification methodology was referenced as best practice for future operational studies