experience
Applied ML, experimentation, research, and data-science leadership.
For my full CV or more information about my experience, please email me or reach out on LinkedIn or X.
Experience
Lead II Data Scientist · S&P Global
March 2026–present · Mexico City
Senior Data Scientist · Zillow Group
February 2024–March 2026 · Remote
Data Science Manager · Coca-Cola FEMSA
August 2023–February 2024 · Mexico City
Executive Data Scientist · Coca-Cola FEMSA
September 2022–August 2023 · Mexico City
Independent research and open source
- Plicara Labs: I develop reproducible studies, benchmarks, and tools for AI evaluation, including regexbench and labloop.
- Bayesian optimization with BASS: My thesis investigates spline surrogates; companion work examines how experimental machinery affects optimizer comparisons.
- Mollify: I help build a Rust-native static analysis engine for Python codebases with Favio Vázquez.
Education
MSc in Data Science · ITAM
My research develops Bayesian Adaptive Spline Surfaces as a surrogate for Bayesian optimization.
BSc in Applied Mathematics · ITAM
Thesis: Finite Elements for Second Order Elliptic Problems.
Technical practice
Python, SQL, R, Go, Bash, and MATLAB; PyTorch, AWS, GCP, Snowflake, Databricks, and Airflow. My applied work includes document understanding, benchmarking, time-series modeling, A/B testing, Bayesian methods, and anomaly detection. I am continuing to learn Rust, econometric theory, and systems design.