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  • AI Data Integration Engineer
  • Portugal

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mariomendes1/README.md

Mario Mendes

AI Developer focused on practical machine learning, RAG systems, agentic workflows, and production-ready AI applications.

I build small, useful AI products that connect models with real business workflows: forecasting, anomaly detection, support automation, medical chatbot prototypes, and intelligent assistants.

Focus areas

  • Retrieval-Augmented Generation and knowledge assistants
  • Agentic AI workflows and automation
  • Fine-tuning and applied machine learning experiments
  • Python, LLM apps, microservices, and data-driven prototypes
  • Turning AI demos into deployable products

Featured work

  • ainexus-ai-projects - AI/ML microservices for anomaly detection, sentiment analysis, inventory forecasting, and real estate intelligence.
  • mm-machinelearning - Applied machine learning experiments and Python workflows for practical AI projects.
  • iamedical_chatbot - Medical AI chatbot prototype built around LLM workflows for health-oriented question answering.
  • medical_chatbot - Core medical chatbot implementation and experiments for LLM-powered assistance.

Tech I work with

Python Machine Learning LLMs RAG Agents FastAPI Streamlit Docker JavaScript HTML

Current direction

I am sharpening a portfolio of applied AI projects with clear demos, cleaner documentation, and production-minded architecture.

Pinned Loading

  1. mm-machinelearning mm-machinelearning Public

    Applied machine learning experiments and Python workflows for practical AI projects.

    Python

  2. ainexus-ai-projects ainexus-ai-projects Public

    Production-ready AI/ML microservices for anomaly detection, sentiment analysis, inventory forecasting and real estate intelligence.

    HTML

  3. iamedical_chatbot iamedical_chatbot Public

    Medical AI chatbot prototype built around LLM workflows for health-oriented question answering.

    Shell

  4. medical_chatbot medical_chatbot Public

    Core medical chatbot implementation and experiments for LLM-powered assistance.