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mikelrh-dev/README.md

Mikel Romero Homobono — Software Developer · AI/ML & Data Science

Barakaldo, Spain

For me, technology is not just a tool — it's an endless rabbit hole. I pull one thread, new branches appear, and sooner or later they connect. That's what keeps me building.

I learned to make decisions and deliver value leading teams in retail. As a software developer at CEESA, I brought that standard to a real ERP (Vespera Solutions, Velneo): real-time stock, tax and traceability, plus AI for inventory anomaly detection, order forecasting and KPI analysis, a Telegram bot (real-time business alerts + RAG assistant over the ERP with Python + FAISS), and agent-automated documentation.

I'm a DAM graduate (Tartanga, 2024–2026), now specializing in AI & Big Data. Certified in the Google × Kaggle 5-Day AI Agents intensive (prototype to production, multi-agent, ADK, evaluation, security) and the Anthropic Claude API + Claude Code 101 tracks. I build with Java, Python, Velneo, PHP · PostgreSQL, MySQL, MongoDB · scikit-learn, pandas, NumPy, XGBoost · PyTorch, TensorFlow/Keras, OpenCV · RAG, local LLMs, MCP · Git, Docker, Linux, with SDD/TDD discipline: I explore with AI, agents and data science, but I ship on engineering fundamentals.

Tech Stack

Python FastAPI Java Spring PostgreSQL MySQL MongoDB Docker pytest

Featured Projects

  • liveInterviewRAG — AI voice interviewer: digital twin answering with my real profile. STT → RAG → LLM → TTS pipeline with phrase-by-phrase SSE streaming and a reactive 3D avatar.
  • fraud-detector — Hybrid fraud detection in 3 layers: deterministic rules + XGBoost + context. SHAP explains every score; a local LLM drafts the reports without deciding.
  • Proyecto-Velneo — Full ERP build (stock, tax, real-time traceability) with AI integrations, developed at CEESA.

Contact

Pinned Loading

  1. fraud-detector fraud-detector Public

    Python

  2. liveInterviewRAG liveInterviewRAG Public

    Python

  3. ai-for-beginners-personal ai-for-beginners-personal Public

    Mi estudio del curso AI for Beginners (microsoft/ai-for-beginners): wiki personal, notebooks corregidos para Windows y ejercicios.

    Jupyter Notebook

  4. aita-lagun aita-lagun Public

    Python

  5. ML-For-Beginners ML-For-Beginners Public

    Forked from microsoft/ML-For-Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

    Jupyter Notebook