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Informationen
Schlagwörter
Machine LearningQuantum ComputingJavaJavascriptAgile MethodologieAmazon Web ServicesData AnalysisComputer VisionMicrosoft AzureCloud ComputingContinuous IntegrationConvex OptimizationDevopsWeb EntwicklungIBM CloudPythonMathematische OptimierungNatural Language ProcessingNumpyOpencvVisualisierungQuantumTensorflowZeitreihenanalyseTypescriptWorkflowsOpenapiDatenverarbeitungGoogle CloudPytorchFlaskDeep LearningJuliaPandasKubernetesDaskDockerGlasgow Haskell CompilerProgramming LanguagesMicroservices+ 30 weitere Schlagwörter anzeigen
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Hierhager-Resume_030425.pdf
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Skills
Machine Learning
Expertise in PyTorch, TensorFlow, and other ML frameworks. Proficiency in deep learning for Natural Science, 3D Computer Vision, NLP, and Time Series analysis.
Data Analysis
Skilled in using Pandas, Numpy, OpenCV, and Seaborn for data manipulation and visualization.
Quantum Computing
Experience with IBM Qiskit, Xanadu Strawberry Fields, and other quantum platforms. Knowledge of Quantum Machine Learning and Optimization techniques.
Cloud Computing & HPC
Proficient in Google Cloud, AWS, Azure, and IBM Cloud. Skilled in high-performance computing tools like Dask and Ray Tune.
Mathematical Optimization
Knowledge of Gurobi, CQP, LP, Non-convex Optimization, Particle Swarm, and Gradient-based Optimization techniques.
Programming Languages
Proficiency in Python, CPP, Julia, Haskell, Java, JavaScript, TypeScript, and various web development frameworks.
DevOps & Tools
Experience with Docker, Kubernetes, microservices, CI/CD, Poetry, Flask, and OpenAPI for agile development workflows.
Projekthistorie
03/2024
-
bis jetzt
Machine Learning Engineer
Driveblocks
(Internet und Informationstechnologie, 10-50 Mitarbeiter)
Conducting research on self-supervised learning for 3D object detection, developing PyTorch models for embedded systems, and training models for robust performance in varied environmental conditions.
08/2022
-
03/2024
Quantum Software Engineer
Accenture
(Internet und Informationstechnologie, >10.000 Mitarbeiter)
Mathematical modelling of complex optimization problems, research and implementation of quantum-enhanced optimization and machine learning algorithms, and agile DevOps with modern tools.
01/2022
-
04/2022
Quantum Machine Learning
Fraunhofer IKS
(Internet und Informationstechnologie, >10.000 Mitarbeiter)
Research on gate-model quantum computing, superconducting Quantum Bit designs, and development of Quantum Convolutional Neural Networks with different noise models.
05/2021
-
11/2021
Quantum Computing (Thesis)
QAR-Lab LMU
Development and evaluation of a hybrid 3SAT-solver using Quantum Adiabatic Computing with Mixed Integer Linear Programming (MILP) and Reverse Annealing.