Experience

• 

  Adaviv

  • Computer Vision Engineer

    • Aug 2022 - Present

    Designing, improving and managing the CV pipeline using AWS resources. Create interactive virtual maps of crops and build models to detect plant diseases and count fruits from videos.

• 

  Créditos Económicos

  • Machine Learning Engineer

    • Jan 2023 - Mar 2023

    Consultancy for the use of Crecoscorp's unbanked scoring model. This model was proposed by my team in the competition organized by Crecoscorp, which turned out to be the best model to discriminate potential customers with high credit repayment. I defined the pipeline to build the model and the consulting I did was on how to improve and execute it.

• 

  ESPOL

  • AI Teaching Assistant

    • May 2022 - Sep 2022

    Worked as a teacher assistant in Artificial Intelligence course (with Python) at ESPOL University. Helped students with their difficulties in understanding the course's core concepts and review their evaluations.

• 

  Prediqt - Data to AI

  • Data Scientist

    • Feb 2022 - Aug 2022

    Development of growth models for salmon. In addition, I implemented a web interface that consumes the production model and simulates salmon crops under the parameters selected. (Kedro, Docker, React)

• 

  BioDynamicsTech

  • Ecuador
  • Information Technology & Services
  • 1 - 100 Employee

  • Data Scientist

    • May 2020 - Aug 2022

    - Time series analysis (Pandas, statsmodels)- Implemented neural networks, and clustering algorithms. The implemented algorithms will be part of the Data Analysis section of the BioDynamics platform.

  • Data Science

    • Mar 2020 - May 2020

    - In charge of performing statistical analysis of temporary data that allows visualizing the behavior of shrimp production variables. (Matplotlib, Seaborn, Statsmodels, Pandas and Numpy Python libraries)- Performed Multivariate time series analysis and benchmarking of regression models (Scikitlearn, Keras and TensorFlow)- Implement a library that allows to build and use the defined Machine/Deep learning algorithms.

• 

  CERN

  • Summer Intern

    • Jul 2021 - Sep 2021

    Design and implement a multilevel web gaming system to interactively tag datasets for CERN researchers. The system includes a dashboard where you can observe the categories that have been assigned by the players based on their reliability and score. (React, Django, Docker, Kubernetes, and Openshift)

• 

  Escuela Superior Politécnica del Litoral

  • Ecuador
  • Higher Education
  • 700 & Above Employee

  • Programming Fundamentals Assistant

    • Oct 2018 - Apr 2020

    I Worked as a teacher assistant for four semesters in Programming Fundamental course (with Python) at ESPOL university. Helped student with their difficulties in understanding the course core concepts of the subject and review their evaluations.

  • PyWeekend Assistant

    • May 2019 - Aug 2019

    I Collaborated in the organization, development, and operation of the PyWeekend 5th edition. Also, on the day of the event helped the competitors with their errors and inconveniences of the code of their solution.