AI Systems Builder

Building practical AI systems, automation workflows, and engineering tools with a focus on clarity, versioning, reliability, and measurable results.

Thessaloniki, Greece · X: @srdevb

• LLM-assisted tools for analysis, automation, and decision support
• Reliable workflows across scripts, tmux, watchdogs, and safe execution
• Versioned systems with checkpointed upgrades and clear evaluation loops
• Practical AI tooling that stays transparent, testable, and useful under real conditions

I build systems designed for clarity and control:

• LLM-assisted workflows for research, triage, and structured output
• Automation pipelines with guardrails and observable behavior
• Versioned iteration with frozen checkpoints
• Tooling that favors simplicity, traceability, and real-world usefulness

Design intent: practical, explainable, and stable enough to use every day.

Python pandas NumPy PyTorch scikit-learn Jupyter Linux Docker tmux VS Code Cursor LLMs Automation CLI Tools System Design

• Build for clarity
• Prefer simple systems that can be verified
• Version changes and evaluate them cleanly
• Optimize for reliability over noise

• AI-assisted workflows for real-world productivity
• Automation systems with strong guardrails
• Better human + model collaboration in everyday engineering

If you want to build something practical and real, reach out.