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🔥[HELLO THERE!] Welcome. I am an AI Engineer, Consultant, Researcher, and Educator specialized in architecting autonomous systems and scalable data solutions.

With an MSc in Artificial Intelligence and a solid foundation in Physics and Electrical Engineering, I bridge the gap between scientific research and industrial production🚀.

My Work Experience

Energy
Mining
Telecommunications
Consumer goods
Banking

AI & Advanced Computing — The Brain

Focus: Design and implementation of cognitive architectures and autonomous multi-agent systems.

  • Generative AI & NLP: Architecting LLM-based solutions, RAG pipelines, and agentic workflows (LangChain, LangGraph).
  • Machine & Deep Learning: Developing predictive models and neural networks for complex pattern recognition.
  • Computer Vision: Engineering visual perception systems and real-time image processing.
  • Edge AI & Robotics: Optimizing and scaling intelligence for low-power devices and TinyML.

Data Strategy & Engineering — The Foundation

Focus: Engineering robust data lifecycles and modern architectures for high-scale environments.

  • Data Engineering & Big Data: Building scalable ETL/ELT pipelines and distributed processing (PySpark, Airflow).
  • Modern Data Architectures: End-to-end design of Data Lakes and Lakehouse environments (Databricks).
  • Analytics & Visualization: Strategic data storytelling and decision-making through advanced BI (SQL, Power BI, Tableau).

MLOps & Platform Engineering — The Infrastructure

Focus: Ensuring operational excellence, scalability, and seamless deployment of AI solutions.

  • Cloud Computing: Multi-cloud infrastructure management across AWS, Azure, and GCP.
  • MLOps & CI/CD: Automating the ML lifecycle, from versioning to production monitoring (MLflow, GitHub Actions).
  • Software Engineering: Building resilient backend systems (Python, Node.js) and containerized environments (Docker, Linux).

Stack

Research & Education

University teaching and applied research in multi-agent intelligence, focused on practical impact, scientific rigor, and reproducible engineering.

🧬 ORCID 📘 IEEE Collabratec

Corporate Training & Workshops

Hands-on for practitioners

Short, hands-on sessions for practitioners: lakehouse platforms, observability, and production-oriented tooling.

Databricks Grafana N8N Microsoft Fabric
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AI & Data Track

The full technical sequence

Full curriculum from foundations through deep learning and specialized topics-aligned with how I teach the technical sequence.

Python Robotics Deep learning Generative AI
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General & Non-Technical

A gentle on-ramp

Accessible routes if you are starting out or coming from another career and want a gentle on-ramp before the heavy technical stack.

GenAI for Everyone GenAI for Students GenAI for Business
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Courses preview catalog

Preview: Same structure shown for all three cards.

🧱 Foundations & Computing

⚙️ Machine Learning & Systems

🧠 Deep Learning Track

🚀 Advanced & Specialized Topics

Aplicaciones de IA Generativa

Cursos gratis: Escoge la ruta que mejor se adapte a tu perfil.

Let's have a beer 🍺!

© 2026 Carlos César Sánchez Coronel | Lima, Perú 🇵🇪