Applied AI Lead @ Bit2Me · ex-Revolut · Based in Spain
I turn AI, data, and automation into practical systems that help teams
make better decisions, remove repetitive work, and ship reliable workflows.
My work sits at the intersection of applied AI, product judgment, data, and operations. I focus on useful systems: tools that fit real workflows, make their constraints explicit, and can be reviewed and verified by the people who depend on them.
| Project | What it demonstrates |
|---|---|
| Lifeskills AI for practical business work |
Reusable agent skills for communication, strategy, negotiation, and influence. |
| AI Dev Workflow Agentic software delivery |
A practical operating system for building software with Codex, Claude Code, OpenCode, and Cursor. |
| Agent Guardrails Template Reliability by design |
Guardrails, quality gates, and executable verification loops for dependable agent workflows. |
| MLX LoRA Fine-tune Template Open-source technical depth |
An end-to-end workflow for fine-tuning LLMs with LoRA on Apple Silicon. |
| Doom Slayer Private, on-device AI |
A browser-based focus assistant using MediaPipe and TensorFlow.js with no backend. |
| DataClaw Agents for data work |
A Kaggle query agent that runs SQL on DuckDB and falls back to Python when needed. |
- Outcome first: start with a workflow, decision, or user problem—not a model.
- Human in the loop: increase leverage while keeping review and accountability.
- Reliable by design: use explicit constraints, quality gates, and verification loops.
- Proof over claims: prefer small working artifacts to abstract opinions.
AI agents · workflow automation · LLM applications · data & operations
product experimentation · AI-assisted development · agent reliability
I am always interested in thoughtful conversations about applied AI, reliable agent workflows, product experimentation, and automation for teams.


