Eduardo Matallanas

AI Engineer at LuzIA
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Madrid Metropolitan Area, ES
Languages
  • Español Native or bilingual proficiency
  • Inglés Native or bilingual proficiency
  • Alemán Limited working proficiency
  • Japonés Limited working proficiency
Skills

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Indriani Djamil

Edu is a pleasure to work with, he has exceptional experience managing complex projects with very different stakeholders with success, he understands very well the business side and is an excellent communicator. His attitude and skills make him view solutions rather than problems. Edu is extremely enthusiastic, working at Cabify can be very challenging, and he battled the impediments. Edu will find a way to weather any storm with a smile. I believe he will be a great leader to his new team and I hope our paths cross again in the future

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Credentials

  • Machine Learning Specialization
    Coursera
    Sep, 2022
    - Sep, 2024
  • Unsupervised Learning, Recommenders, Reinforcement Learning
    Coursera
    Sep, 2022
    - Sep, 2024
  • Advanced Learning Algorithms
    Coursera
    Aug, 2022
    - Sep, 2024
  • Supervised Machine Learning: Regression and Classification
    Coursera
    Jul, 2022
    - Sep, 2024
  • Machine Learning Data Lifecycle in Production
    Coursera
    Jul, 2021
    - Sep, 2024
  • Introduction to Machine Learning in Production
    Coursera
    Jun, 2021
    - Sep, 2024
  • Machine Learning
    Coursera
    Mar, 2013
    - Sep, 2024
  • Google Cloud certified Professional Machine Learning Engineer
    Google
    Mar, 2022
    - Sep, 2024

Experience

  • LuzIA
    • United States
    • Apparel & Fashion
    • 1 - 100 Employee
    • AI Engineer
      • Aug 2023 - Present

      · Spearheading the seamless integration of advanced Large Language Models into LuzIA's chat systems, enhancing natural conversation flow and user interactions. · Fine-tuning LLMs to align with specific domains, ensuring personalized, context-aware, and empathetic responses. · Harnessing Natural Language Processing (NLP) techniques to optimize chatbot capabilities, including text generation, sentiment analysis, and language understanding. · Collaborating closely with cross-functional teams, contributing to data preparation and annotation efforts, ensuring high-quality training datasets. · Monitoring and optimizing LLM performance through iterative improvements based on user feedback and interaction analysis. · Contributing innovative ideas to advance chatbot technology, staying at the forefront of AI research. Show less

  • Plain Concepts
    • Spain
    • IT Services and IT Consulting
    • 300 - 400 Employee
    • Principal Data Scientist
      • Mar 2022 - Aug 2023

      Lead the AI and ML area from a technical perspective. Among my daily duties, I am in charge of helping other data scientist in the team and assure the quality of the projects that we deliver to our clients. I also mentored junior DS to follow our best practices. At the same time I am involved in developing different ML techniques in highly impactful projects. Moreover, I also participate in the identification of our clients needs and in the preparation to span our knowledge by gathering didactic materials. Finally, I have a global role to envision the technical direction around AI in the company. Show less

    • Head of Artificial Intelligence
      • Sep 2021 - Feb 2022

      In charge of a mid size team that covers E2E data & AI solutions. I am coordinating the operations and the delivery of top solutions to different sectors.

  • Cabify
    • Spain
    • Software Development
    • 700 & Above Employee
    • Senior Data Scientist
      • Apr 2020 - Sep 2021

      Within cabify there are many different parts of its operations that need to be explored. I am part of a team that thanks to the analysis of the data, provides some smart rules that add value to the business. In this way, a more robust and automatic platform is created that is capable of offering the best to people. Within cabify there are many different parts of its operations that need to be explored. I am part of a team that thanks to the analysis of the data, provides some smart rules that add value to the business. In this way, a more robust and automatic platform is created that is capable of offering the best to people.

    • Data Engineer & AI Team Lead
      • Aug 2018 - Apr 2020

      Machine learning engineer developing different solutions to implement efficient solutions: - Use of NLP algorithms for document classification and clause extraction in legal sector. - Development of an NLP algorithms for detecting symptoms of rare diseases. - Automation of ML lifecycle, using Mlflow, docker and kubernetes. - Talks and workshops related with AI in universities and events as DotNet, Singularity Tech day, etc. - Coordination of a small team. - Management of ML projects related with different sectors: healthcare, legal, oil&gas, etc. Show less

  • BOSLAN INGENIERIA Y CONSULTORIA
    • Spain
    • Engineering Services
    • 300 - 400 Employee
    • Innovation developer
      • Dec 2016 - Aug 2018

      Development and application of new technologies within Gas Natural Fenosa. Management of projects related with robots and bots for different business inside the organisation. Development and application of new technologies within Gas Natural Fenosa. Management of projects related with robots and bots for different business inside the organisation.

  • Robolabo
    • Spain
    • Research
    • 1 - 100 Employee
    • Postdoctoral researcher
      • Jul 2016 - Nov 2016

      Research and development of Artificial Intelligence applied to the energy sector. Some of the responsibilities were: • Design and development of novel algorithms from AI for the users’ coordination inside an smart grid. • Create algorithms to maximize the local energy resources, increasing its local use by 20%. • Collaboration in research projects focused on ML. • Research areas coordination inside the Robotics lab. • Development of distributed sensing systems for the measurement of several environmental and electrical variables. Show less

  • Universidad Politécnica de Madrid
    • Spain
    • Higher Education
    • 700 & Above Employee
    • Predoctoral researcher
      • Sep 2010 - Jul 2016

      My Ph.D. is focus on energy management and control using artificial intelligence algorithms to the enhancement of an electrical grid through the smoothing of the aggregated consumption. My Ph.D. is focus on energy management and control using artificial intelligence algorithms to the enhancement of an electrical grid through the smoothing of the aggregated consumption.

Education

  • Universidad Politécnica de Madrid
    Doctor Ingeniero de Telecomunicación, Ciencias de la computación y energía eléctrica
    2011 - 2016
  • Universidad Politécnica de Madrid
    Máster en Energía Solar Fotovoltaica, Tecnología/Técnico de energía solar
    2010 - 2011
  • Universidad Politécnica de Madrid
    Ingeniería de Telecomunicación, Procesamiento de señal
    2005 - 2010

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