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Nizar Abubaker

On the benchAI

AI & automation experiments

Practical experiments in how AI, automation and modern architecture can solve real problems — local language models, AI-assisted development and intelligent workflows. Curiosity, with a working prototype.

An ongoing lab for emerging technologies and their practical use.

Rather than treating AI as a novelty, these experiments ask how its capabilities fit into useful applications, operational workflows and digital products — and where their limits are.

Areas include local language models, AI-assisted development, intelligent automation, generative content and integrating machine-learning services into existing architectures.

Areas

  • Local language models (Ollama, Qwen)
  • AI-assisted software development
  • Workflow automation and AI API integration
  • Prompt engineering
  • Machine-learning integration and tracking (MLflow)
  • Turning ideas into working prototypes