01. WORK EXPERIENCE

Quantitative Developer / AI Developer

Sep 2025 β€” current

Northpool B.V. • Leiden, The Netherlands

Design of pipelines for training and inference of machine learning and deep learning models used for trading in the energy markets.

Build real-time monitoring tools, and dashboards, to ensure the stability of the models and trading strategies

Quantitative Developer / AI Developer (Intern)

Jan 2025 β€” Jul 2025

Northpool B.V. • Leiden, The Netherlands

Developed econometrics and deep learning based models to support decision-making processes.

Data Science & AI Lecturer

Oct 2019 β€” Jun 2020

ITAM • Mexico City

Led an advanced diploma program in Data Science for Finance, training industry professionals in Python programming, SQL database querying, data analysis and machine learning.

Economic Data Analyst / Developer

Aug 2015 β€” Aug 2017

Bloomberg L.P. • Mexico City

Improved and accelerated data acquisition workflows by leveraging vendor APIs.

Developed dashboards to spot statistical outliers in real time.

Stock Indexes Analyst

Jul 2013 β€” Feb 2015

Mexican Stock Exchange • Mexico City

I improved the optimization process for the S&P/BMV Bursa Optimo Index, reducing computation time from 8 hours to 10 minutes.

Managed the full lifecycle of stock indexes maintenance, including constituents selection and weights determination.

02. EDUCATION

2020 β€” 2024

PhD Candidate in Computer Science

Eindhoven University of Technology (TU/e)

Uncertainty in Artificial Intelligence Group Thesis: Deep Credal Probabilistic Circuits: Inference, learning and applications.

2017 β€” 2019

Master's Degree in Computer Science

Computer Research Center, IPN

Thesis: Automated Learning of Trading Rules for the Mexican Stock Market.

2008 β€” 2012

Bachelor's Degree in Actuarial Science

Faculty of Sciences, UNAM

Thesis: On Merton’s jump diffusion model for pricing European options.

03. Tech Stack

//Languages

Python C++ R Javascript Matlab VBA

// Data science and AI

PyTorch TensorFlow NumPy SciPy PySpark Scikit-Learn Tidyverse

// MLOps and others

Linux Git AWS Cloud Docker Kubernetes FastAPI

04. PUBLICATIONS AND SOFTWARE

⚑
Clustering App

Clustering & 2D Classification Dataset Application

Web tool for the quick and easy creation of 2D clustering and classification datasets

8th International Conf. on Belief Functions • 2024

Dempster-Shafer Credal Probabilistic Circuits

ACM International Conference on AI in Finance (ICAIF) • 2023

Portfolio Optimization via Credal Probabilistic Circuits

International Journal of Approximate Reasoning (IJAR) • 2023

Beyond tree-shaped credal probabilistic circuits

05. Writing