03.04.2025 aktualisiert

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100 % verfügbar

Machine Learning Engineer and Quantum Computing Specialist

München, Deutschland
München +25 km
M.Sc. Computer Science, 2025
München, Deutschland
München +25 km
M.Sc. Computer Science, 2025

Profilanlagen

Hierhager_Resume.pdf

Skills

JavaJavaScriptAgile MethodologieAmazon Web ServicesData AnalysisComputer VisionMicrosoft AzureCloud ComputingContinuous IntegrationConvex OptimizationDevOpsWeb EntwicklungIBM CloudPythonMachine LearningMathematische OptimierungNatural Language ProcessingNumPyOpenCVVisualisierungQuantumQuantum ComputingTensorFlowZeitreihenanalyseTypeScriptWorkflowsOpenapiDatenverarbeitungGoogle CloudPyTorchFlaskDeep LearningJuliapandasKubernetesDaskDockerGlasgow Haskell CompilerProgramming LanguagesMicroservices
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.
 

Erfahrung

Berufserfahrung0 - 5 Jahre
Freelancer seit2025

Sprachen

DeutschMutterspracheEnglischverhandlungssicherFranzösischgutSpanischgut

Projekthistorie

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.

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.

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.

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.

Zertifikate

Microsoft zertifiziert: Azure-Grundlagen

Microsoft

2023

Google Cloud Certified: Associate Cloud Engineer

Google

2023

Deep Learning

DeepLearning.AI

2023

IBM Quantum Challenge: Spring 2023 Achievement

IBM

2023

IBM Certified Associate Developer - Quantum Computation using Qiskit v0.2X

IBM

2023


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