22.02.2025 aktualisiert

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Premiumkunde
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Data Scientist / Data Engineer / Machine Learning Engineer / Cloud Solutions Architect

München, Deutschland
Weltweit
PhD in Physics (University of Toronto)
München, Deutschland
Weltweit
PhD in Physics (University of Toronto)

Skills

I'm like a Swiss Army knife of skills - I've been coding since I was a kid, studied physics and even got a PhD. On the side, I played some poker to make some cash and sharpen my analytical skills. That experience led me to develop some algorithms and eventually switch to cloud and machine learning development, which is now my passion. I'm a lifelong learner and a creative problem solver, and I always bring a fresh perspective to any project I work on. I'm dedicated to delivering exceptional results and exceeding expectations every time.

Coding:
  • Python (TensorFlow, PyTorch, Keras, JAX, scikit-learn, numpy, pandas)
  • Java
  • C++
  • Scala
  • SQL, Cypher
  • Object Oriented Programming
  • Functional Programming
Cloud Technologies:
  • Storage: Data Lake, Data Lakehouse, Data Warehouse, SQL, NoSQL, Graph Databases (S3, Data Lake Storage, DynamoDB ...)
  • Container: Docker, Kubernetes, AKS, EKS
  • Serverless: Lambda Functions, Azure Functions, Step Functions
  • Messaging: EventBus, SNS, SQS, Kafka
  • Machine Learning: AWS Sagemaker, Azure Machine Learning, TPUs
  • Monitoring: CloudWatch, Sentry
  • Data Engineering: Spark, Databricks
  • IaC: AWS CDK, Terraform
  • Data Pipeline: Azure Data Factory, AWS Glue, Airflow
Machine Learning:
  • Deep Learning
    • Convolutional Neural Networks  (CNN)
    • Recurrent Neural Networks (RNN)
    • Transformers
    • Attention Mechanism
  • (Deep) Reinforcement Learning
    • DQN, REINFORCE, A2C, PPO
    • Monte Carlo Tree Search (MCTS)
    • Counterfactual Regret Minimization (CFR)
    • Neural Fictious Self Play (NFSP)
  • Regression
  • Decision Trees, Random Forests, Gradient Boosting
  • Clustering
Others:
  • Game Theory
  • Theoretical Physics
  • Quantum Information Theory
  • Probability Theory
  • Statistics
  • Mathematics
  • Quantitative Finance
Certifications:
  • Microsoft Certified: Azure Fundamentals
  • Microsoft Certified: Azure Data Scientist Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure AI Engineer Associate
  • EXIN Agile Scrum Foundatiion Certification

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Senior Software Engineer / Tech Lead

  • Design green field software architecture implemented in python for a test automatizaion projecct with robot framework
  • Implement backend DB access (sqlalchemy) and REST connections to other components
  • Manage pipelines for automated tests and deployments with Jenkins
  • Analyze workflows in Camunda
  • Debug Java application code with IntelliJ
Technologies used: Python, Robot Framework, sqlalchemy, sql, db2, Jenkins, Rest, Bitbucket, git, Jira, Confluence, pydantic, Java, IntelliJ, VS Code, DBeaver

Senior Backend Engineer

  • Implementing AWS Lambda Serverless code to process incoming Kinesis streaming data and Frontend requests.
  • Frontend development with JavaScript and React
  • Containerized deployment of backend code with Docker and FastAPI
  • Bug tracking with Elastic, Kibana and CloudWatch
  • IaC with Terraform and Serverless Framework
Technologies used: AWS Lambda, API-Gateway, SQS, SNS, Kinesis, Terragrunt/Terraform, Serverless, Elastic, CloudWatch, Python, Git, PostgreSQL, Hasura, GraphQL, REST, Docker, GitLab

Machine Learning Expert

  • Fine-tune object detection models
  • Study generative models, large language models and reinforcement learning based
    training methods
  • Reinforcement learning with human feedback
Technologies used: Python, Tensorflow, PyTorch, JAX, NLP, Transformers, Hugging Face

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