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Samuel MotaSM

Samuel Mota

Data Architect specialized in AIoT

€250/day
Madrid, ES
3-7 years

Average response time: 1 hour

About Samuel

I am a Data Architect specialized in AIoT (Artificial Intelligence of Things) with a degree in Data Science from MIT and practical experience in industrial automation, remote monitoring, and orchestration of intelligent flows with n8n, ESP32, MQTT, and Supabase.

I have developed solutions for companies such as Ambev, Itaú, Vivo, and SENAI, integrating physical sensors, custom firmware, dashboards, and predictive alerts with generative AI (GPT-4, embeddings, and vector classification).

In addition, I act as a Designer of Intelligent Agents and MCPs (Multi-Channel Processors) to automate complex interactions with clients or internal systems. My agents combine RAG (Retrieval-Augmented Generation), context graphs, and deterministic logic to ensure accuracy, traceability, and full decision control.

I work with technologies such as Supabase Vector Store, OpenAI, WhatsApp Cloud API, and LangChain, creating assistants capable of responding, deciding, and executing tasks autonomously and consistently.

I'm looking to collaborate with companies that want to scale their operations through intelligent automation, AI-powered monitoring, and secure and efficient conversational agents.
  • Portuguese

    Native or bilingual

  • English

    Conversational

  • Spanish

    Conversational

Remote only
Primarily works remotely

Experience

  • integrai soluções de arquitetura digital
    Datos AIoT
    TECH
    March 2025 - Today (1 year and 3 months)
    Development of intelligent agents using RAG (Retrieval-Augmented Generation) and vector stores.
    Developing integrated solutions with n8n, Supabase, ESP32, MQTT, REST APIs, and generative AI models, with a focus on performance, scalability, and cost reduction.
  • Fuse IoT
    Desarrollador de Software JR
    March 2024 - July 2025 (1 year and 4 months)
    Development of the RETINA system for major clients such as Ambev, Itaú, and Perfil. Implemented flows in Node-RED, configured alarm rules, and integrated REST and MQTT APIs for real-time data exchange. Extensive use of RPC calls. Specialized in ThingsBoard, an open-source IoT platform for telemetry visualization, device management, rule engine customization, asset hierarchies, and advanced dashboard design. Delivered scalable solutions aligned with each client's infrastructure and monitoring needs.
  • Marina
    Consultor AIoT / Freelancer
    June 2014 - March 2024 (9 years and 9 months)
    Development of IoT projects focused on industrial monitoring using ESP32 microcontrollers and MQTT protocol, enabling real-time data acquisition and visualization through custom energy monitoring dashboards. Strong experience in integrating these systems with broader industrial platforms to enhance operational efficiency. Additionally, coordinated naval engineering projects, overseeing technical planning, cross-functional team leadership, and comprehensive risk management. Delivered solutions aligned with strict industry standards and project timelines, ensuring both performance and reliability.

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Education

  • Ciencia de Datos
    MIT (EE.UU.)
    Ciencia de Datos
  • Ciencia de Datos y Machine Learning
    Massachusets Institute of Technology (MIT)
    2023
    Ciencia de Datos y Machine Learning

Skill set

Categories