Software Engineer C++
Resume:
Chico Sambo
Simulation Software Engineer — Reservoir
Modeling — C++ & Python
Baton Rouge, LA
# *************@*****.***
linkedin.com/in/chico-sambo
Professional Summary
Simulation software engineer with a Ph.D. in Petroleum Engineering and strong programming expertise in C++, Python, and scientific computing. Proven experience building simulation platforms and physical models for subsurface systems involving multiphase flow and heat transfer. Developed command-line tools and visualization modules using FEniCS and PyVista. Integrated simulation codes with field operations, built robust test cases, and collaborated on high-performance software with hardware-in-the-loop (HIL) scenarios. Experienced in Linux, Git, and Docker environments. Eager to bring rigorous simulation experience to robotics, aerospace, and autonomous system applications.
Work Authorization
U.S. Permanent Resident (Green Card holder); no sponsorship required. Education
2025 Ph.D. in Petroleum Engineering, Louisiana State University, Baton Rouge, LA
GPA: 4.0 / 4.0
Dissertation: Multiscale Modeling of Methane and CO2 Hydrates in Porous Media Developed simulation tools for coupled fluid-thermal systems in porous media using C++, Python, and FEniCS
Advisors: Dr. Ipsita Gupta, Dr. Karsten Thompson
Honors: LSU Research Excellence Award (2024)
2021 M.Eng. in Petroleum Engineering, University of Louisiana at Lafayette, Lafayette, LA
GPA: 4.0 / 4.0
Thesis: Physics-Informed Machine Learning for Modeling Porous Media Flow Built ML-integrated simulation workflows using Python and CMG. 2017 B.Eng. in Petroleum Engineering, Universiti Teknologi Petronas, Malaysia Graduated with First Class Honors
Capstone Project: Numerical Analysis of Fluid Flow in Fractured Shale Reservoirs Work Experience
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2021–2025 Graduate Research Assistant, Louisiana State University
Developed C++ and Python-based simulation frameworks for subsurface energy systems.
Created command-line interfaces for running multiphysics models on HPC clusters.
Integrated numerical solvers with mesh-based systems (FEniCS, Gmsh).
Designed simulation scenarios to test hydrate dissociation and CO2 injection strategies.
Built automated pipelines for scenario testing using shell scripts and Python.
Collaborated with teams on experimental validation and hardware-simulation coupling.
Reduced model run-time by 40% using optimized FEM solvers and sparse matrix structures.
2019–2021 Graduate Research Assistant, University of Louisiana at Lafayette
Implemented physics-informed neural networks (PINNs) for reservoir flow simulation.
Created surrogate models and simulation tools to reduce run-time for field models.
Developed pore-scale simulators in FEniCS and visualized results using PyVista.
Deployed models in Dockerized environments and managed source code with Git. 2017–2019 Research Officer, Center for Seismic Imaging, UTP Malaysia
Built 3D static models and ran EOR simulations with Eclipse and CMG.
Conducted automated test scenario generation for field development planning.
Analyzed well log data and integrated with simulation pipelines.
Delivered technical training and deployed software tools for engineering teams. Technical Expertise
Programming C++, Python, Bash, MATLAB, Git
Simulation
Frameworks
FEniCS, CMG, TOUGH, Eclipse, OpenFOAM
AI/ML
Integration
PINNs, scikit-learn, TensorFlow
Visualization Matplotlib, PyVista, VTK, ParaView
Platforms Linux, Docker, Google Colab, HPC clusters (SLURM) CI/CD & Tools GitHub Actions, Shell scripting, Makefiles Version Control Git, GitHub
Documentation
& Reporting
LaTeX, Markdown, Microsoft Office
Selected Projects & Publications
2025 Numerical Simulation of CO2 Sequestration in Hydrate Structures, Fuel Journal
(under review)
2024 CO2 Storage in Depleted Hydrate Reservoirs, SPE ATCE 2022–2023 Developed Python-based pore network modeling tool to simulate fluid flow and generate test scenarios for hydrate reservoirs. Validated results with field data. Professional Activities
Conferences SPE ATCE, Geo-Congress, Coastal Sediments Memberships SPE, AGU
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Code Review Reviewed research codes for DOE-funded projects and student teams References
Available upon request.
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