Key accomplishments

  • Complete a master’s degree in Canada
  • Lead a group of 4 people to create a ML pipeline impacting 30,000 clients
  • Supported a ML application which processed vital information for the bank.

Role 1
Machine learning engineer
Role 2
Deep learning engineer
Financial technology > consumer finance
Any
Junior
Canada
Any
NA
Hybrid

Tags

AITech

Education

  • September 9 2021 - August 28 2023
    University of Ottawa

    Master’s in Computer Science with Concentration in Artificial Intelligence

    I have finished my master's degree and some of the most relevant courses were: Machine Learning, Natural Language Processing (NLP), Deep Learning and Reinforcement Learning, Applications of NLP to Software Engineering, Algorithms Analysis, Ethics in AI, Distributed Computing, Advanced Machine Learning, Design of User Interfaces. My final GPA was: 3.91/4 And these are my most relevant projects: • Master’s Graduation Project: Creation of a hybrid hard-voting model for cyber-attack prediction and prevention using BERT for log analysis and ML models for IP packet analysis Description. • Time predictions in amusement parks with imbalanced datasets LinkFiles LinkBlog. • Optimizing Lottery Ticket Hypothesis via Knowledge Distillation in Deep Neural Networks LinkDescription. • Predicting Story Points and project time delay in Agile Software Development projects with Transformers and BERT architecture LinkDescription. • Image-to-image translation, sketches to Monet paintings comparing cGANs and CycleGANs Description.

  • August 9 2012 - December 23 2016
    Technological Institute for Superior Studies of Monterrey ITESM (Mexico)

    Telecommunications and Electronic Systems Engineering Bachelor’s Degree


Experience


Portfolio


Expertise

Python
90
JavaScript
40
R
40
Keras / Tensorflow
80
Scikit-Learn
80
Numpy /. Pandas
90
Pytorch
40
Hugging Face
70
SQL / Mongo DB
70
Hadoop and Cloudera
40
AWS: S3, SageMaker
20

Languages

English,
French,
Spanish,
Italian