Juan Sebastián Vargas Torres

Juan Sebastián Vargas Torres  new_releases

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Systems Engineer/Master's Degree in AI and Data Science
Bogotá, Bogota, Colombia
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Starting at USD1k/month
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Résumé

Jobs verified_user 0% verified
  • RevStar
    Senior Data Engineer
    RevStar
    Jan 2024 - Current (2 years 7 months)
    Charged of designing and implemenHng an ETL using Azure Data Factory, Synapse and Apache Airflow process to organize and transfer data to the cloud, to have a centralize point for data analysis, data for machine learning models training and data visualizaHons.
  • B
    MLOps
    BoostEducaHon
    Jan 2023 - Feb 2024 (1 year 2 months)
    Charged of designing and developing all the pipeline of LLM models, from geOng data from diferent resources (Files, API and Web Scraping), fine tuning models, to deploying models with AWS (Sagemaker and bedrock) , evaluaHng models accuracy a creaHng feedback features for models improvements. Our main goal is to create and ofer digital teachers that can adapt their knowledge base on student's capabiliHes and teaching them about science, math, and history, all based on generaHve agents.
  • P
    Semi Senior Data Engineer
    Pontificia Universidad Javeriana de Bogot
    Jan 2022 - Feb 2024 (2 years 2 months)
    Data Engineer for Pontificia Universidad Javeriana's research vice-presidency and Planning Department, designing and implementing an ETL process to organize and transfer research project data to the cloud, in order to have a centralize point for data analysis, data for machine learning models training and data visualizations.
  • Pontificia Universidad Javeriana
    Worked with the Research group in machine learning : Sekia
    Pontificia Universidad Javeriana
    Jan 2022 - Current (4 years 7 months)
  • F
    Ingeniero de sistemas
    Fluppy
    Feb 2020 - Jan 2021 (1 year)
  • Servicio Jesuita a Refugiados
    Data Analyst
    Servicio Jesuita a Refugiados
    Jan 2020 - Jan 2022 (2 years 1 month)
    I was in charge of creaHng Linear Models to opHmize the resources that the NGO receives from enHHes such as GIZ, the European Union, the Foreign Ministry and the PRM.
Education verified_user 0% verified
  • Boston College
    Data Analysis / Forecasting
    Boston College
    Oct 2022 - Current (3 years 10 months)
  • Pontificia Universidad Javeriana
    Masters Degree in AI and Data Science
    Pontificia Universidad Javeriana
    Jul 2022 - Current (4 years 1 month)
  • P
    Data management M.S Ar5ficial Intelligence,
    PonHficia Universidad Javeriana
    Jan 2022 - Nov 2022 (11 months)
  • P
    Learning M.S Ar5ficial Intelligence,
    PonHficia Universidad Javeriana
    Jan 2022 - Oct 2022 (10 months)
  • C
    Chinese Studies,
    Centro de Idiomas AsiáHcos
    Apr 2021 - Oct 2021 (7 months)
  • P
    Bachelor of Science
    PonHficia Universidad Javeriana
    Jan 2019 - Jan 2023 (4 years 1 month)
  • Pontificia Universidad Javeriana
    Bachelor in Systems Engineering Systems Engineering
    Pontificia Universidad Javeriana
    Jan 2019 - Current (7 years 7 months)
  • Boston College
    Forecas5ng
    Boston College
  • U
    AI in Businesses Cer5ficate,
    University of Cincinna6
  • P
    Learning M.S Ar5ficial Intelligence,
    PonHficia Universidad Javeriana
Projects (professional or personal) verified_user 0% verified
  • P
    Semi Senior Data Engineer
    Pontificia Universidad Javeriana de Bogot
    Nov 2022 - Feb 2024 (1 year 4 months)
  • C
    Carvi
    Jul 2022 - Current (4 years 1 month)
    CarVi is a mobile application that offers the ability to capture photos of vehicles and obtain relevant information about them. The app uses two models to achieve this. First, it uses a model called ResNet50, which is a pre-trained convolutional neural network. However, instead of using it directly, the model is fine-tuned to specifically adapt it for the purpose of vehicle recognition. Fine-tuning involves retraining the model using a custom dataset, allowing model weights and features to be tuned to improve its accuracy in the vehicle recognition task. Second, CarVi uses an approach called Segment Anything Model (SAM) developed by Meta. SAM is used to remove the "noise" from the captured image of the vehicle, that is, its background and t
  • B
    Brainy Noise
    Jun 2022 - May 2023 (1 year)
    Web prototype that allows to load magnetic resonances of the human brain and by using a machine learning model, obtains an answer with the identification of the noise level (presence or absence) of the images.