27.11.2025 aktualisiert

GC
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Senior Software Engineer - High-Performance Computing & Machine Learning

Remscheid, Deutschland
Weltweit
Doctor of Philosophy in Physics (Computational Focus)
Remscheid, Deutschland
Weltweit
Doctor of Philosophy in Physics (Computational Focus)

Profilanlagen

Gordon Couper.pdf

Skills

3D ModellierungAPIsAutomatisierter HandelArchitekturAutomatisierungC++ETLDatenqualitätFinite-Elemente-MethodenPythonMachine LearningMathematische SoftwareMonte-Carlo-SimulationRegressionsanalyseParallel ComputingPerformance-TuningPredictive AnalyticsTensorflowRisikoanalyseSignalverarbeitungSimulationenSQLStatistikenMetrikenDatenaufnahmeRisikoeinschätzungConvolutional Neural NetworksKerasPandasDaten-Pipeline
High-Performance Computing Architecture
Advanced expertise in architecting and maintaining large-scale finite element modeling software in C++ and Python for critical simulation tasks with parallel computing optimization

Machine Learning Integration
Deep knowledge in designing and deploying machine learning solutions using TensorFlow, Keras, and Convolutional Neural Networks for automated image classification with 95% accuracy

Algorithmic Trading Systems
Specialized experience in developing high-frequency algorithmic trading and predictive analytic engines in C++ and Python with performance optimization using Cython

Data Pipeline Engineering
Comprehensive skills in designing automated data ingestion and signal processing pipelines in Python, improving data quality and signal-to-noise ratios

Parallel Computing Optimization
Expert knowledge in engineering parallelized applications using MPI and C++ for High-Performance Computing clusters with significant performance improvements

ETL Framework Development
Advanced capabilities in designing and optimizing scalable ETL pipelines using SQL and Pandas for real-time decision-making support

Statistical Analysis Implementation
Strong foundation in Monte Carlo simulations and high-dimensional regression analysis for complex mathematical software components

Risk Assessment Frameworks
Proven experience in building comprehensive risk assessment frameworks and APIs with measurable improvements in risk-adjusted metrics

Sprachen

DeutschMutterspracheEnglischMuttersprache

Projekthistorie

Lead Research Software Engineer

Max Planck Institute
Architected and maintained large-scale finite element modeling software in C++ and Python, engineered parallelized applications using MPI, designed automated data pipelines, and refactored legacy simulation code

Frontend and Backend Developer

Helmholtz-Zentrum Dresden-Rossendorf
Developed high-frequency algorithmic trading and predictive analytic engines in C++ and Python, designed scalable ETL pipelines, implemented Monte Carlo simulations, and built comprehensive risk assessment frameworks

Software Developer / Postdoctoral Fellow

DESY
Designed and deployed machine learning solutions using Python, TensorFlow, and Keras, developed interactive data visualization tools, performed statistical analysis on large datasets, and mentored junior developers

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