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Technical Product Owner & Ph.D. Petroleum Engineer

Bridging AI Innovation
with Energy Subsurface

SAFe® 6 Certified leader driving digital transformation in upstream data, numerical modeling, and enterprise software.

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Professional Summary

I am a dual-domain expert in Energy and Artificial Intelligence, currently serving as Upstream Data Technology Owner at S&P Global Energy.

With over 14 years of experience, I specialize in ML-driven data systems and automation, delivering multimillion-dollar enterprise savings through optimized data extraction and delivery. A U.S. patent holder in industrial automation, I bridge complex subsurface engineering with scalable software and agentic workflows. As an AWS Machine Learning Specialist, I focus on transforming traditional energy operations into high-performance, AI-driven systems.

14+
Years Experience
Patent Holder
Industrial Automation
Ph.D.
Petroleum Engineering

Technical Expertise

Product Leadership

  • • SAFe® Agile (POPM)
  • • WSJF Prioritization
  • • PI Planning
  • • MVP Strategy
  • • Stakeholder Management

Software Engineering

  • • C#/.NET Core, Web API
  • • Python, TypeScript, Angular
  • • Microservices, CI/CD
  • • SQL Server, Git
  • • Django, REST APIs

Data & AI

  • • Machine Learning (PyTorch, TF)
  • • AWS SageMaker
  • • Numerical Methods
  • • Power BI Visualization
  • • Mathematical Optimization

Energy Domain

  • • Reservoir Simulation
  • • Subsurface Computing
  • • PPDM Standards
  • • TNavigator, Petrel, Eclipse
  • • IPM Suite

Professional Experience

Current

Technical Product Owner - Upstream Data

S&P Global Energy | Texas, USA

Nov. 2023 – Present

  • • Lead technical roadmap for Upstream Data portfolio using SAFe Agile principles
  • • Translate complex subsurface dataset use-cases into actionable user stories
  • • Champion CI/CD, observability, and secure design practices
  • • Manage dependencies across cross-functional teams for 100% feature adoptability

Principal Research Engineer / Project Lead

University of Wyoming (HESS Partnership)

Jan. 2018 – Nov. 2023

  • • Directed multi-year industry-funded research partnership with HESS
  • • Patent Holder: Alloush, R., Piri, M., & Lowry, E. W. (2024). Automated apparatus for characterization of fluid-solid systems (U.S. Patent No. 12,000,855). U.S. Patent and Trademark Office.
  • • Improved experimental efficiency by 60% via optimization algorithms
  • • Mentored team of researchers and graduate students

Data Scientist (Volunteer)

PPDM Association | Remote

May 2020 – Present

  • • Improved data processing throughput by 40%
  • • Architected modular workflow abstractions and automated pipelines
  • • Built interactive Power BI dashboards for stakeholders
  • • Recognized as Volunteer of the Month

Reservoir Engineer

Saudi Aramco | Dhahran, Saudi Arabia

Jun. 2015 – Dec. 2017

  • • Developed 3D geomechanical models (Petrel/Techlog)
  • • Deployed Artificial Neural Networks (ANN) for well log modeling
  • • Built custom Python plugins for subsurface simulation suites
  • • Optimized drilling safety and reservoir performance

Petroleum Engineer / Software Instructor

Egyptian Petroleum Consultants | Cairo, Egypt

Jan. 2012 – Sep. 2012

  • • Improved multiphase flow models by 20% through simulation studies
  • • Led technical workshops for international customers
  • • Focused on engineering theory and software application intersection

Education

Ph.D. - Petroleum Engineering

University of Wyoming

Patented automation module • ML efficiency +60%

M.Sc. - Petroleum Engineering

KFUPM

Developed reservoir simulator • Improved accuracy ~15%

B.Sc. - Petroleum Engineering

Suez University

Automated cement injection system • First robotics club

Certifications & Awards

AWS Certified
Machine Learning Specialty (2022)
SAFe® 6
Certified Product Owner
Intel®
Edge AI Scholarship (2020)
Energy Vault
1st Place Winner
Baker Hughes
Decarbonization 1st Place
SPE
Best Paper Award
NASA Space Apps
2nd Place Winner
PPDM
Volunteer of the Month

Publications & Patents

Patent

AUTOMATED APPARATUS FOR CHARACTERIZATION OF FLUID-SOLID SYSTEMS

U.S. Patent No. 12,000,855 • 2024

Alloush, R., Piri, M., & Lowry, E. W.

Selected Publications

Alloush, R. M., Sharma, K. V., Piri, M. Confine Phase Behavior of Propane-Hexane Binary Mixture: An Experimental Investigation... (in press).

Sharma, K. V.; Alloush, R. M.; Omer Salim; Piri, M. Confined Phase Behavior of n-hexane in Unconsolidated Nanoporous Media using Gravimetric Approach... (in press).

Alloush, R., Sharma, K., Piri, M., 2023. The effect of confinement on the phase behavior of propane in nanoporous media... [in press].

Sharma, K., Alloush, R., Piri, M., 2023. Confined phase behavior of ethane in nanoporous media... Microporous and Mesoporous Materials 351 (2023): 112459.

Moussa, T. M., Alloush, R. M., & Issaka, M. B. (2017). Automated Well Test Analysis Utilizing Self-Adaptive Differential Evolution Method. Society of Petroleum Engineers.

Alloush, R. M., Elkatatny, S. M., Mahmoud, M. A., et al. (2017). Estimation of Geomechanical Failure Parameters from Well Logs Using Artificial Intelligence Techniques. SPE.

Professional Instructor

University of Wyoming, KFUPM, American University in Cairo

2012 – 2023

  • • Designed petroleum engineering courses
  • • Delivered specialized technical trainings
  • • Supervised experimental lab sessions

Petroleum and Natural Gas Institute of Tech. & Training

Khobar, Saudi Arabia | 2013 – 2018

  • • Trained 100+ sessions across 5 countries
  • • 94% satisfaction score achieved
  • • Developed essential petroleum engineering training

Let's Connect

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