Engineered Solutions for Demanding Problems:

Pascal Post

Numerical Software Engineer & Freelance IT Specialist.

I create tailored, efficient software solutions that cut through complexity — helping you solve IT challenges in digitalization, specifically within science and engineering, with clarity and precision. From simulation, intelligent automation, and data-driven insights to scalable cloud and HPC services, I deliver targeted tools built for your needs.

Advanced Computational Software Scientific & Engineering Applications HPC Cloud DevOps AI & Machine Learning CFD
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About Me

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I engineer software solutions for demanding problems — blending scientific depth with practical software engineering. With over a decade of experience across aerospace, energy, and academia, I specialize in building robust tools for simulation, automation, and digitalization — and I help clients tackle general IT challenges, from infrastructure design and DevOps to cross-platform deployment and performance optimization.

I focus on solving complex, high-stakes problems — the kind that demand deep technical understanding, thoughtful design, and reliable execution. My expertise spans high-performance computing, modern C++, Python, and GPU programming, with hands-on experience integrating simulation tools into complex system environments. I’ve contributed to industry-grade CFD codes at Airbus and the German Aerospace Center (DLR), including TRACE — used in research and by MTU Aero Engines and Siemens Energy. I’ve led architecture for aerodynamic software at Airbus and co-developed simulation tools used by MAN Energy Solutions.

Whether you need high-fidelity simulation tools or expert support for modernizing and scaling IT systems, I bring a practical, engineering-first mindset — focused on clean, efficient, and maintainable solutions, especially when the problems are technically demanding.

Here is an overview of technologies and areas I specialize in:

  • Programming languages: Modern C++, CUDA, C, Zig, Go, Rust, JS/TS, Python, SQL, …
  • DevOps: GitHub, GitLab, Jenkins, Containerization, AWS, Terraform, cross-platform packaging, …
  • Tools: Git, CMake, Doxygen, Modern C++ Tools, debugging, profiling, …
  • OS: Linux/Unix System Administration
  • HPC & Scientific Computing including batch processing and GPGPU
  • Machine Learning & AI
  • Numerical Analysis
  • Cross-platform graphics (OpenGL)

    • Services

    Scientific Software Development

    Custom software solutions for scientific and engineering applications

    • High-Performance Computing (HPC)
    • Computational Fluid Dynamics (CFD)
    • Numerical Methods & Algorithms
    • Scientific Data Processing
    • Parallel Computing Solutions

    IT Services & Consulting

    Comprehensive IT solutions for scientific and engineering organizations

    • System Architecture Design
    • Cloud Infrastructure Setup
    • DevOps & CI/CD Implementation
    • Performance Optimization
    • Technical Documentation

    Digitalization & Automation

    Modernizing and automating engineering workflows

    • Workflow Automation
    • Digital Twin Implementation
    • PLM Integration
    • Data Pipeline Development
    • Process Optimization

    Experience

    Flight Physics Capabilities Developer - Airbus
    2022 - present

    Design and develop high-performance engineering software used across Airbus, with focus on simulation, system integration, cloud architecture, and the digitalization of legacy workflows within an Agile development environment.

    • Designed and developed core components of a next-gen CFD solver (CODA) in modern C++ and Python
    • Appointed Principal Software Architect for aerodynamic tools (02/2024), leading software architecture across multiple toolchains
    • Built software packages and CI/CD pipelines for automated testing and delivery across cloud and HPC platforms
    • Ported solver software to cloud infrastructure, supporting cross-platform builds and optimization (ARM/AMD)
    • Designed and prototyped a hybrid SaaS workflow for CFD simulations (cloud and on-prem)
    • Integrated simulation software with enterprise PLM systems (digital thread enablement)
    • Collaborated with external partners on system integration of turbomachinery capabilities
    • Selected for internal leadership and technical talent development programs (2024)
    Team Lead - Numerical Methods - Ruhr-Universität Bochum
    2018 - 2022

    Led a small engineering research team focused on simulation software, numerical methods and applied machine learning in engineering. Emphasis on building production-quality scientific tools and mentoring early-career developers.

    • Co-developed a CFD codebase (C++) used by MAN Energy Solutions for gas turbine design
    • Designed and implemented simulation software for thermodynamically complex flow media in turbomachinery, including GPGPU acceleration using CUDA
    • Published and presented peer-reviewed work in CFD, HPC, ML, and simulation software — ORCID
    • Oversaw software projects in scientific computing and contributed to long-term maintenance
    • Supervised a team of 5 developers/researchers and coordinated collaborative research
    • Contributed to teaching and curriculum development for simulation and numerical methods
    • Received “Best Paper” award from the ASME Steam Turbine Committee (2020)
    Research Assistant - Technische Universität Darmstadt
    2015 - 2018

    Focused on CFD software development and numerical method implementation for aerospace applications.

    • Contributed to the development of DLR’s TRACE CFD code, written in C
    • Designed and implemented a particle-tracking library in modern C++ for fluid flow analysis
    • Worked on core numerical algorithms and performance optimization for simulation software
    • Helped maintain large codebases and contributed to cross-team integration workflows
    Master Thesis - German Aerospace Center (DLR)
    2014 - 2015

    Worked on CFD algorithm design and software integration for steam flow simulations in turbomachinery.

    • Developed a thermodynamically efficient algorithm for modeling condensing steam flows
    • Implemented the method in DLR’s TRACE CFD code, written in C and used in turbomachinery R&D
    • Contributed to algorithm validation, performance tuning, and software quality

    Get in Touch

    Hi there! 👋 Looking for a technical expert to help solve complex challenges? I'm always open to discussing new opportunities and projects. With expertise in scientific computing, HPC, and cloud solutions, I can help transform your ideas into efficient, scalable solutions. Let's explore how we can work together. Feel free to connect with me on LinkedIn or GitHub, or use the button below to send me an email.

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