AI Architect specializing in end-to-end design and deployment of Deep Learning, GenAI, and Agentic systems at enterprise scale. From raw data pipelines and Big Data infrastructure to LLM fine-tuning, multi-agent orchestration, and production observability — I own the full stack.
"My path is to transform the technical complexity of hardware and software into exploitable knowledge."
- 🏦 Currently: Líder de Auditoría de IA @ Produbanco (Apr 2026 – Present)
- 🤖 Core expertise: Deep Learning · Agentic AI · End-to-end GenAI architecture · Big Data
- 🎓 Double Master's: Data Science (PUCE Ecuador) + Computational Intelligence (UFRJ Brasil)
- 🏅 International patent in Edge AI — Universidad Indoamérica
- 🌱 Community: Saturdays AI Quito contributor
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Designed full architecture and deployed Ecuador's first national GenAI agent at Banco Pichincha: +5K active users, +200K queries, 80% satisfaction. Includes governance, observability & AIOps stack. |
Architected an enterprise-wide agentic mesh (cybersecurity, data & processes layers) defining MCP/A2A integration patterns, access controls, and security standards for LLM-based agents at scale. |
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Built PySpark-based ML pipelines for fraud detection impacting 4M+ users, including anomaly detection on highly unbalanced transactional datasets and hyperpersonalized phishing defense with AI. |
Developed the first internationally patented product for Universidad Indoamérica: Edge AI inference on SBC with Intel RealSense 3D vision — real-time Deep Learning at the edge. |
2026 → Produbanco │ Líder de Auditoría de IA
│ Enterprise AI governance · Risk auditing · AI contract review
2024 → Banco Pichincha │ Arquitecto de Inteligencia Artificial
│ End-to-end GenAI · LLMs/VLMs · Agentic mesh · MCP/A2A · DLOps/AIOps
2023 → Banco Pichincha │ Data Scientist – Cybersecurity
│ Big Data (PySpark) · Fraud detection · Anomaly detection
2022 → Prediqt │ Data Scientist
│ ML pipelines · ETL · Feature engineering · Kedro
2021 → ESPOL │ Research Data Scientist
│ Deep Learning on physiological time series & BCI systems
2021 → Indoamérica │ ML Engineer ★ International Patent
│ Edge AI · Real-time Deep Learning · Intel RealSense 3D
| Degree | Institution | Year |
|---|---|---|
| 🎓 MSc Information Systems — Data Science | Pontificia Universidad Católica del Ecuador | 2025 – 2026 |
| 🎓 MSc Electrical Engineering — Computational Intelligence | COPPE/PEE · UFRJ, Brasil | 2020 – 2023 |
| 🎓 BSc Electronics, Automation & Control Engineering | Universidad de las Fuerzas Armadas – ESPE | 2014 – 2020 |
| Certification | Issuer |
|---|---|
| LangChain & LangGraph with Python | LangChain |
| PySpark | Databricks |
| Advanced Python Programming | |
| Scrum Professional Certificate | Agile |
| LOPDP — Personal Data Protection | Ecuador |
- 🧩 Agentic mesh at scale — Multi-agent orchestration with MCP & A2A, security patterns, enterprise integration
- 🧠 LLM & Deep Learning pipelines — From data ingestion and fine-tuning to production observability
- 🛡️ AI Governance — ISO 42001, risk auditing, responsible AI for regulated industries
- 📊 Big Data × AI — PySpark pipelines feeding real-time ML and GenAI systems
💬 Open to collaborations on end-to-end AI architecture, Agentic AI systems, and Deep Learning at scale