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      Kim Roder

      A short description of my Software Development skillset.

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Resume

A short description of my Software Development skillset.
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I have experience developing and deploying cloud-based pipelines and a diverse history spanning most Data Science and Machine Learning fields.

My comprehensive understanding of both software and data, combined with a willingness to learn and use new technologies, tools, and languages, allows for the implementation of more intuitive and robust systems overall.


EXPERIENCE

2024-current: Machine Learning Developer at Bear Machines: A start-up that is first to market with an innovative tire regrooving automation system. I am assisting in the exploration and implementation of:

  • Cutting-edge sensor technologies
  • Computer vision algorithms & customer and machine data analysis
  • Cloud architecture & software
  • …

2020-2023: Lead Developer at Hetrafi (in development): A gaming marketplace/hub start-up for gamers who want to trade, compete, and provide services in their favorite online games. My responsibilities included:

  • Supervising development
  • Designing and implementing our Google Cloud architecture using primarily Go and SQL
  • Maintaining access control for our cloud and GitHub resources
  • …

2017-2019: Junior ML Developer at IMA Institut RWTH Aachen: A machine learning consultancy at RWTH University where we assisted with ML solutions research for companies such as Telekom and Saint Gobain. Projects required knowledge of:

  • Saint Gobain
    Using computer vision and statistical regression techniques to identify production line defects.
  • Telekom
    Using NLP (NER) to classify and anonymize chat logs containing sensitive personal data.
  • RWTH Language Department
    Using NLP, MapReduce corpus analysis, and graphical databases to build a knowledge graph-based language learning tool.
  • …

Summer 2014: Data Science Intern at Onalytica: A social media data analysis consultancy that searched for efficient Twitter influencers based on topics provided by our clients. Twitter analysis was performed through:

  • Sentiment analysis using NLP techniques
  • Clustering of topics and engagements

reference


SKILLS

Languages /5
Python 5
Go 4
C++ 4
Javascript 3
C# 3
Java 3
Scala 2

Tools, Techniques, etc: Agile, AutoML, CI/CD, Computer Vision/NLP/…, CUDA, DDD, Docker, Git, GCP/AWS/Azure, GraphQL/REST, gRPC, Hadoop, Keras, Kubernetes/Kubeflow, Linux, LLMs/GPTs/Multi-Agent Orchestration, Machine Learning/Data Science, MapReduce, Matplotlib, Microservices, MLflow, Notebooks, NumPy/Scikit-learn, OpenCV, Pandas, PyTorch/TensorFlow, Serverless, SQL/NoSQL, Spacy, TDD, …


EDUCATION

King’s College London studying Computer Science with Intelligent Systems

English International College with A-Levels in Mathematics and Physics