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Hi there 👋, I'm Bernhard

About

👨🏻‍💻 About Me

  • 💡 I deeply believe that learning new skills and applying these to real world situations is one of the biggest gifts life gave us.
  • 🎓 I'm currently studying one of my newest discoveries besides IT, the financial markets and how to apply trading algorithms efficiently.
  • 🌱 Concerning IT, I'm on track for learning more about all topics that are useful on my way. Almost every IT related subject is exciting for me. It's my big passion.
  • 📫 Feel free to send me a message via LinkedIn :)

🛠️ Tech stack

🧱 Area 🖥️ Main Technologies I use 🔥 Cherry picked favorite (sub-)frameworks/tools
Software architecture Domain Driven Design, Microservice/SCS-Systems, Software Design Patterns                                   My favorite SW patterns: MVP-Passive View, Repository Pattern
Frontend development HTML/JavaScript: React, NextJS, Vercel
Style: TailwindCSS, Sass, Bootstrap
Definitely React-Query for distinguishing between remote and local state of an UI
Backend development Java: Spring, Quarkus
C#: Asp.Net5+
Typescript: NestJS, mercurius
Python: FastAPI, Flask
I really like the universal E2E + load testing tool JMeter
Data engineering/analytics Relational DBs: PlanetScale (MySQL), PostgreSQL
NoSQL: MongoDB
Search Engine/Analytics: ElasticSearch, Clickhouse
Deep Storage: S3
Data Streaming: Kafka, Google PubSub
Big Data Processing: Google cloud functions, Spark, Dask
Notebooks/Dashboards: Jupyter, Pandas, streamlit
For data discovery: Streamlit. Google PubSub / Google cloud functions are very nice to working with. Nvidia Rapids is the best approach for data processing at scale for the future (but too early stage atm)
Machine Learning Scikit-Learn, Tensorflow, Spacy, AX I am quite impressed from the math behind machine learing algorithms. I've often used highly specialized ML tools so far instead of the mainstream ML tools.
Infrastructure and Cloud Clouds: Hetzner Cloud, Google Cloud, AWS, Vultr
Cloud Native: Kubernetes, Helm, Docker
CDNs: Vercel, Cloudflare, Google CDN
Provisioning: Terraform, Ansible, Bash
I highly enjoying to work with Hetzner Cloud provisioned by Terraform Cloud. Kubernetes/Docker was a game changer!
Monitoring/Logs Metrics: Prometheus
Logs: ELK-Stack
Tracing: Jaeger
Visualization: Grafana
... or Google Operations Suite at Google Cloud
I really like the Prometheus integration of Grafana
Algotrading C#: Ninjatrader, MultiCharts
Python: IB-API
Ah. Frustrading area concerning good working tools. Ninjatrader is the best compromise.
APIs REST
GraphQL
Swagger for REST and graphql-codegen are great tools for contract driven developement
Favorit editors Visual Studio Code, Rider Rider for C# saved my life in Algotrading projects
IOT RaspberryPi OpenCV (Python version) for image recognition is very nice to program with

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