Short resume

Education

• Ph.D. in Computer Science. Universidad Nacional Autónoma de México, 2021
  • Thesis: A vector-valued multiphase active contour model for image segmentation
• M.Eng. in Digital Signal Processing. Universidad Nacional Autónoma de México, 2016
  • Thesis: Caracterización de texeles invariante a rotación mediante la transformada Hermite multiescala
• B.S. in Applied Science. Instituto Politécnico Nacional, 2013

Work experience

• 2023 - in progress: Research Associate
  • CUAED - UNAM
  • Primarily involved in conducting research and developing artificial intelligence-based applications in the fields of innovation, education and assessment.
  • Duties included: Programming, teaching, networking, publication, thesis supervision, reviewing and evaluation.
• 2021 - 2022: Project Leader
  • B@UNAM - UNAM
  • Development of virtual learning assistants for intelligent tutoring systems.
  • Duties included: Planning, data processing, model development, model training, system monitoring, collaboration.
• 2018 - 2022: Teaching Assistant
  • Facultad de Ingeniería - UNAM
  • Lectures on:
    • Pattern recognition
    • Digital image processing
    • Medical image analysis

Skills

• Python, Matlab, R, Git, SQL
• Frameworks: Tensorflow, Keras, Pytorch, Pandas, Matplotlib, Seaborn, Langchain, NLTK, Numpy, OpenCV
• Latex, Zotero, Jabref
• Photoshop, Inkscape, GIMP
• English (Full professional proficiency)
• French (Limited working proficiency)

Main interests

import pandas as pd

# Define elements
elements = {
    "👾": "Artificial intelligence",
    "💬": "Natural language processing",
    "👀": "Computer vision",
    "📚": "Educational Technology (EdTech)",
    "🏥": "Medical image analysis"
}

# Create a dataframe with dictionary
df = pd.DataFrame(list(elements.items()), columns=["Emoji", "Field"])

# Show dataframe
print("List of interests:")
print(df)