I make learning Data Science effortless for you | Data Science @ Bosch

Hi 👋🏻
I'm Banias, AI Engineer at Netze BW.

Applying new technologies and methods in Data Science & AI is my passion.

Through my experience and continual learning, I've gained valuable insights and tips that I love sharing with Data Scientists, Machine Learning Engineers and builders like you.

If you're looking for practical advice, helpful resources, and articles on the latest trends or best practices in the field, you're in the right place.

Let's connect and stay updated on the exciting world of Data Science together. Feel free to reach out, read my articles, and let's grow our knowledge and network. :)


Note: My views are my own and don‘t represent my employer.

Banias Baabe

Most people running local AI models have no idea which ones will actually work on their hardware.

𝗹𝗹𝗺𝗳𝗶𝘁 is a small open source CLI tool that scans your system and tells you exactly which models fit your setup.

No more downloading files that turn out to be too large to run.

Here is what it does:
✅ Evaluates 150+ models from 30 providers against your CPU, GPU, and RAM specs.
✅ Returns a ranked list of models that match your hardware.
✅ Connects with Ollama and LM Studio to detect and download models directly.
✅ Supports multi GPU setups and Mixture of Experts architectures.

It's a simple quality of life tool that saves real time for developers working with local AI.

🔗 Link to repo: github(.)com/AlexsJones/llmfit


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I teach AI Engineers the concepts and tools they need to stay ahead | AI Engineer @ Netze BW

opennudge

- driving not-for-profit organization building open-source software
- creating developer-first tooling amplifying software creation
- spreading new best practices and paradigms in software development
- bridging disciplines across automation, AI/DL/LLM and DevSecOps

Developer and founder

InovIntell

- established the AI-health science company with internal stakeholders
- directed and mentored technical and research teams (10 people)
- defined and created a robust technical culture, practices, pipelines
- programmed in LLM, backend, data science, DevOps and cloud areas

Chief Technology Officer

WinCan

- co-developed technical and scientific plan for company's AI offering
- guided the development of the computer vision algorithms
- reviewed code quality and PRs, mentored ML team
- mentored and provided strategic advice to the machine learning team

Deep learning advisor

Moises

- optimized audio neural networks for mobile devices deployment
- advised on torchscript/CoreML conversion to accelerate inference

AiCore

- designed and created Python, Linux, ML, DL, and Ops course units
- taught numpy, PyTorch, sklearn, Docker, Kubernetes, Kubeflow (among others)
- consecutively chosen as company's best instructor by the students
- conducted mock interviews, coached and mentored over 100 students

Head of content & instructor

Artplanet

- engineered a low-maintenance, cost-efficient neural network art tagger
- created C++ optimized AWS Lambda inference engine for neural networks
- handled full SDLC, including data science, ML, and AWS deployment

Machine Learning Engineer

Codete

- built and validated dockerized Keras ↔ TensorFlow neural network converter (ONNX-like)
- researched AI use cases (e.g. NLP, R to Python ML algorithms conversion)
- co-authored commercial machine learning courses (NLP, CV, tabular data)

Internal ML Researcher

Passionate about computer science and AI, with focus on code design and architecture. People-oriented leader promoting open source, interested in the intersection of technology and other fields.

taplio

The Battle

Banias Baabe

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