Summary
Senior full stack engineer and AI/ML specialist with 20 years delivering mission-critical technology for regulated financial services — banking, payments, credit cards and enterprise platforms — with end-to-end ownership from discovery and technical scoping through system design, build and production rollout. Hands-on deploying machine learning models into production environments, building MLOps pipelines and leading large-scale platform migrations without critical incidents. Known for aligning executive priorities, engineering teams, risk partners and external banking institutions around measurable outcomes, and for keeping delivery moving in complex, high-stakes environments.
Speaking & Research
MICAI 2026 — 25th Mexican International Conference on Artificial Intelligence
“Forecasting Weekly Depression Incidence in Mexico: A Multi-Model Framework with Auditable Per-Series Model Selection”
MICAI 2026 — 25th Mexican International Conference on Artificial Intelligence
“A Two-Condition Diagnostic for Decoder-Based Multi-Objective Search: When Blind Sampling Beats a Mismatched NSGA-II”
26th WPA World Congress of Psychiatry
“Population-level prediction of depression, Alzheimer’s disease, and Parkinson’s disease incidence using artificial intelligence: implications for health service planning”
CALASS 2026 — Congrès de l'ALASS
« De la surveillance épidémiologique à l’intelligence prédictive : le rôle de l’intelligence artificielle dans l’organisation prospective des systèmes publics de santé »
From epidemiological surveillance to predictive intelligence: the role of artificial intelligence in the prospective organization of public health systems.
Presented EpiForecast-MX, an epidemiological intelligence platform built at Tecnológico de Monterrey with the Instituto Mexicano del Seguro Social (IMSS) that forecasts weekly notified cases across Mexico's 32 states on a 52-week horizon. Prophet, DeepAR, Ensemble and Stacking engines are selected per series and re-validated against every new national epidemiological bulletin.
2nd Public Health Conference & 2nd HSG Europe Preconference
“AI-Based Forecasting to Shift Epidemiological Surveillance toward Predictive Approaches: Depression, Alzheimer’s, and Parkinson’s as Use Cases”
Forecasting Dengue in Mexico: An End-to-End Data Science Story
From a messy government PDF to a 52-week forecast that holds together through an epidemic year — data extraction and cleansing, feature engineering, model selection and evaluation.Work Experience
- Architected and led the Gravity Middleware Project, managing full stack migration from IBM Mainframe/DB2 to private cloud (Microfocus/Oracle) — zero critical incidents in production.
- Directed migration of 500+ WAS/WebSphere servers to modern cloud infrastructure, designing scalable distributed system architecture.
- Implemented end-to-end MLOps pipelines for automated model deployment, monitoring, and continuous integration in production banking environments.
- Leading core banking full stack development for Certificate of Deposits at OpenBank digital bank, building front-end interfaces and back-end services.
- Conducted design reviews and code reviews across engineering teams, ensuring best practices in testability, efficiency, and code quality.
- Maintained stable, incident-free production environments across distributed banking systems at scale.
- Designed and developed UI/UX interfaces for internal banking applications using front-end technologies, improving user satisfaction by 35%.
- Led full stack development on critical projects: SBNA Loans COVID-19 Relief Program, Regulatory FDIC 370, Whole Correspondence Project.
- Triaged and debugged production system issues by analyzing root causes across hardware, network, and service layers.
- Developed Computer Vision solutions for document processing and fraud detection, integrating ML models into production back-end systems.
- Built full stack applications for loans management, leading IT project portfolios and PMO activities across cross-functional teams.
- Designed and tested software products end-to-end, from requirements through deployment and maintenance.
- Designed and optimized scalable, secure distributed systems for global financial services processing millions of daily transactions.
- Developed data-driven algorithms (SAS/Python), increasing marketing response rates by 20% and reducing delinquency by 10%.
- Created interactive dashboards and front-end interfaces for executive reporting and real-time data visualization.
- Developed and maintained large-scale core financial systems (COBOL, Java) for BBVA Bancomer and Santander México with zero critical incidents.
- Designed front-end user interfaces for mainframe applications, improving operational efficiency and developer experience.
- Help desk consultant for Ford’s department, ensuring system stability and security and providing software and hardware solutions.
Education
Focus: Smart Optimization, Linear Optimization, Non-Linear Optimization, Data Engineering
Relevant Coursework: Data Science, Machine Learning, AI, Data Visualization, Fintech & IoT
Relevant Coursework: Programming, Software Engineering, AI, Computer Networks, Data Structures, Algorithms & Operating Systems