Ignacio Martinez Lombardero

Machine Learning Engineer at Hexigon
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Contact Information
us****@****om
(386) 825-5501
Location
Argentina, AR
Languages
  • English Full professional proficiency
  • Spanish Native or bilingual proficiency

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Credentials

  • Python (Basic) Certificate
    HackerRank
    Jun, 2023
    - Sep, 2024
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    DeepLearning.AI
    Jan, 2023
    - Sep, 2024
  • Convolutional Neural Networks in TensorFlow
    DeepLearning.AI
    Jan, 2023
    - Sep, 2024
  • Machine Learning Engineer
    Anyone AI
    Jan, 2023
    - Sep, 2024
  • EF SET English Certificate 82/100 (C2 Proficient)
    EF Standard English Test (EF SET)
    May, 2022
    - Sep, 2024
  • Data Analytics
    Coderhouse
    Apr, 2022
    - Sep, 2024
  • Scrum Fundamentals Certified
    SCRUMstudy - Accreditation Body for Scrum and Agile
    Oct, 2021
    - Sep, 2024
  • Google IT Support Professional Certificate
    Google
    Sep, 2021
    - Sep, 2024

Experience

  • Hexigon
    • Internet Publishing
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jan 2023 - Present

      Designed and developed "CompoX", an AI-powered web component generator that enables users to build webpages using text prompts. Built a conversational chatbot with long-term memory that uses OpenAI's GPT-3 API and Pinecone's similarity search database to maintain memory of previous conversations. Fine-tuned stable diffusion models to generate realistic images of individuals in different art styles and environments. Collected thousands of Webflow web components using Selenium, and built a search engine based on text-embedding-ada-002 to match users' text input with specific web components. Show less

  • Coderhouse
    • Argentina
    • Education
    • 700 & Above Employee
    • Data Science Tutor
      • Jan 2023 - Apr 2023

      Mentored students on the fundamentals of Data Science, including topics such as Data Acquisition, Data Wrangling, Exploratory Data Analysis (EDA), Insight Discovery, and Machine Learning. Used Python, Scikit-Learn, Matplotlib, Seaborn, Google Colab, and Jupyter notebooks to help students develop and validate machine learning models, perform model tuning, and explore advanced topics in Machine Learning. Mentored students on the fundamentals of Data Science, including topics such as Data Acquisition, Data Wrangling, Exploratory Data Analysis (EDA), Insight Discovery, and Machine Learning. Used Python, Scikit-Learn, Matplotlib, Seaborn, Google Colab, and Jupyter notebooks to help students develop and validate machine learning models, perform model tuning, and explore advanced topics in Machine Learning.

  • Anyone AI
    • United States
    • E-Learning Providers
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Sep 2022 - Jan 2023

      Analyzed sentiment in product reviews for a movie streaming service, predicted vehicle make and model from unstructured e-commerce images, and analyzed home credit risk. Collected and analyzed data via an API to predict salary levels based on historical data for sports players. Deployed models in AWS instances using Docker, within an API-based web service application. Analyzed sentiment in product reviews for a movie streaming service, predicted vehicle make and model from unstructured e-commerce images, and analyzed home credit risk. Collected and analyzed data via an API to predict salary levels based on historical data for sports players. Deployed models in AWS instances using Docker, within an API-based web service application.

  • Prod-Software
    • India
    • Computer Software
    • 1 - 100 Employee
    • QA Analyst
      • Nov 2021 - Aug 2022

      Improved the results of an e-commerce search engine by identifying errors in query processing and analysis of output data in the backend API. Analyzed thousands of test queries and evaluated tokenization, stemming, lemmatization, corrections, and n-grams in product search processing. Provided causes and proposed solutions to reported issues in the platform daily. Improved the results of an e-commerce search engine by identifying errors in query processing and analysis of output data in the backend API. Analyzed thousands of test queries and evaluated tokenization, stemming, lemmatization, corrections, and n-grams in product search processing. Provided causes and proposed solutions to reported issues in the platform daily.

  • NTB Solutions S.A.
    • IT System Custom Software Development
    • 1 - 100 Employee
    • IT Support
      • Dec 2020 - Nov 2021

      Implemented an Electronic Health Record solution in three mental health institutions, providing technical support to the full staff of professionals. Managed credentials and permissions creation in the platform. Installed and repaired computer hardware, monitoring their status frequently. Reported software and network issues via ticketing software. Implemented an Electronic Health Record solution in three mental health institutions, providing technical support to the full staff of professionals. Managed credentials and permissions creation in the platform. Installed and repaired computer hardware, monitoring their status frequently. Reported software and network issues via ticketing software.

Education

  • Universidad Tecnológica Nacional
    Ingeniería, Ingeniería en Sistemas de Información
    2020 - 2024
  • Anyone AI
    Machine Learning Developer
    2022 - 2023
  • Coderhouse
    Data Scientist
    2022 - 2022
  • Universidad Nacional de Córdoba
    Lic. en Composición Musical, Música
    2016 - 2022

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