01.07.2025 aktualisiert
100 % verfügbar
Computer Vision and Machine Learning Engineer | Python, Go, OpenCV, Deep Learning
München, Deutschland
München +50 km
Master in Electrical EngineeringSkills
TrainingsdatenJavaScriptAPIsAnalyse von FinanzdatenKünstliche Neurale NetzwerkeComputer VisionAtlassian ConfluenceAtlassian JiraMicrosoft AzureCloud ComputingClusteranalyseDatenverarbeitungDatenbankenData MiningDatenvisualisierung
Project experience in the fields of Computer Vision with (among others, Regression, Classification, Object Detection, Segmentation) as well as in the area of NLP and in the field of Data Science with a focus on Machine Learning & Deep Learning
Methods and Technologies:
Project Management: Scrum, Kanban
Data Science: Machine Learning, Neural Networks, Clustering, Classification, Regression, Natural Language Processing, Computer Vision, Data Mining, Time Series Analysis
Personality: Reliability, Team Player, Thoroughness
Technical Skillset:
Programming Languages: Python, Golang, JavaScript, TypeScript
Frameworks: TensorFlow, PyTorch, NumPy, HuggingFace, openCV, Pandas, Scikit-Learn, Scikit-Image, Keras, Matplotlib, Seaborn, Plotly, nltk, spaCy, plotly, stats, Flask, Gunicorn
Databases: MongoDB, Microsoft SQL Server, SQLite, MySQL, Redis
Development Environments: Visual Studio Code, PyCharm, Jupyter
Tools: Docker, Jira, Confluence, Git, MS Office, Cloud (Azure), gRPC, Onnx, Nginx, Postman, AzureDevOps, CertBot
Systems: Windows, Linux
Industry Knowledge:
Retail, Semiconductors, Renewable Energies
Certification:
Deep Learning Specialization
Machine Learning Engineering for Production (MLOps)
I would be happy to tell you more about myself and my projects. Please contact me!
Methods and Technologies:
Project Management: Scrum, Kanban
Data Science: Machine Learning, Neural Networks, Clustering, Classification, Regression, Natural Language Processing, Computer Vision, Data Mining, Time Series Analysis
Personality: Reliability, Team Player, Thoroughness
Technical Skillset:
Programming Languages: Python, Golang, JavaScript, TypeScript
Frameworks: TensorFlow, PyTorch, NumPy, HuggingFace, openCV, Pandas, Scikit-Learn, Scikit-Image, Keras, Matplotlib, Seaborn, Plotly, nltk, spaCy, plotly, stats, Flask, Gunicorn
Databases: MongoDB, Microsoft SQL Server, SQLite, MySQL, Redis
Development Environments: Visual Studio Code, PyCharm, Jupyter
Tools: Docker, Jira, Confluence, Git, MS Office, Cloud (Azure), gRPC, Onnx, Nginx, Postman, AzureDevOps, CertBot
Systems: Windows, Linux
Industry Knowledge:
Retail, Semiconductors, Renewable Energies
Certification:
Deep Learning Specialization
Machine Learning Engineering for Production (MLOps)
I would be happy to tell you more about myself and my projects. Please contact me!
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2021
Sprachen
DeutschMutterspracheEnglischverhandlungssicherSpanischgut
Projekthistorie
Social Monitoring:
Conceptualization and development of a backend for sentiment analysis of political texts using natural language processing (NLP).
Python, Flask, Nginx, Gunicorn, Spacy, Tensorflow, HuggingFace, LSTMs, Transformers, Docker, GitLab, Postman, MongoDB
Conceptualization and development of a backend for sentiment analysis of political texts using natural language processing (NLP).
- sentiment analysis
- generative AI for live recommendations
- topic modelling with NLP
Python, Flask, Nginx, Gunicorn, Spacy, Tensorflow, HuggingFace, LSTMs, Transformers, Docker, GitLab, Postman, MongoDB
Theft Detection:
Development and deployment of software for image-based theft monitoring in retail Conceptualization, implementation, and integration into the existing environment.
Technologies:
Python, Go, PyTorch, Tensorflow, Onnx, OpenCV, GoCV, Azure, AzureML, AzureDevOps, gRPC, ProtoBuffer, Docker, Git, MongoDB
Development and deployment of software for image-based theft monitoring in retail Conceptualization, implementation, and integration into the existing environment.
Technologies:
Python, Go, PyTorch, Tensorflow, Onnx, OpenCV, GoCV, Azure, AzureML, AzureDevOps, gRPC, ProtoBuffer, Docker, Git, MongoDB
Trading Software:
Conceptualization and development of trading software with a focus on: Automated detection of trend lines, determination of supply-demand zones, analysis of macro trends, backtesting of resulting trades.
Technologies:
Python, Nginx, Certbot, Gunicorn, Ansible, Flask, BinanceAPI, Docker, Postman, GitHub, Postman, MongoDB
Conceptualization and development of trading software with a focus on: Automated detection of trend lines, determination of supply-demand zones, analysis of macro trends, backtesting of resulting trades.
Technologies:
Python, Nginx, Certbot, Gunicorn, Ansible, Flask, BinanceAPI, Docker, Postman, GitHub, Postman, MongoDB