Profilbild von Philip Hierhager Machine Learning Engineer and Quantum Computing Specialist aus Muenchen

Philip Hierhager

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Letztes Update: 03.04.2025

Machine Learning Engineer and Quantum Computing Specialist

Abschluss: M.Sc. Computer Science, 2025
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: Deutsch (Muttersprache) | Englisch (verhandlungssicher) | Französisch (gut) | Spanisch (gut)

Schlagwörter

Machine Learning Quantum Computing Java Javascript Agile Methodologie Amazon Web Services Data Analysis Computer Vision Microsoft Azure Cloud Computing + 30 weitere Schlagwörter anzeigen

Dateianlagen

Hierhager-Resume_030425.pdf

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.

Zertifikate

Microsoft zertifiziert: Azure-Grundlagen
2023
Google Cloud Certified: Associate Cloud Engineer
2023
Deep Learning
2023
IBM Quantum Challenge: Spring 2023 Achievement
2023
IBM Certified Associate Developer - Quantum Computation using Qiskit v0.2X
2023

Reisebereitschaft

In der Stadt München mit einem Radius von 25 km verfügbar
Profilbild von Philip Hierhager Machine Learning Engineer and Quantum Computing Specialist aus Muenchen Machine Learning Engineer and Quantum Computing Specialist
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