AI Engineer and Data Architect with 6+ years of experience designing scalable data systems and implementing intelligent solutions that drive business value.
I am an AI Engineer currently pursuing a Master's degree in Artificial Intelligence, building upon a solid foundation of 5 years as a Data Engineer. This unique combination enables me to bridge the gap between robust data infrastructure and cutting-edge AI implementations.
My approach combines deep technical expertise with strategic thinking, ensuring that every solution I deliver is not only technically sound but also aligned with business objectives. I specialize in designing end-to-end data ecosystems that enable organizations to harness the full potential of their data assets.
End-to-end consulting services designed to transform your data capabilities and unlock the power of artificial intelligence.
Custom AI solutions leveraging machine learning, deep learning, and natural language processing to automate processes and generate insights.
Build robust, scalable data pipelines and infrastructure that ensure reliable data flow from source to consumption.
Design comprehensive data architectures that align with your business goals, ensuring scalability, governance, and optimal performance.
Transform raw data into actionable insights through comprehensive BI solutions that empower data-driven decision making.
A selection of public projects showcasing my expertise in AI, data engineering, and analytics.
End-to-end machine learning pipeline for multi-class text classification with automated model training and deployment.
View on GitHubScalable data streaming architecture processing millions of events per minute with sub-second latency.
View on GitHubModern data warehouse implementation with dimensional modeling and automated data quality checks.
View on GitHubRetrieval-augmented generation system for intelligent document search and question answering.
View on GitHubComplete MLOps infrastructure for model versioning, experiment tracking, and automated deployment.
View on GitHubComprehensive data validation framework with automated testing, documentation, and alerting.
View on GitHubA comprehensive toolkit spanning data engineering, AI/ML, and cloud technologies.
PostgreSQL, MongoDB, Snowflake, BigQuery, Redshift, Delta Lake
Apache Spark, Kafka, Airflow, dbt, Pandas, Polars
Tableau, Power BI, Looker, Apache Superset, Plotly
TensorFlow, PyTorch, Scikit-learn, XGBoost, Hugging Face
LangChain, OpenAI, Anthropic, RAG Systems, Vector Databases
AWS, GCP, Azure, Terraform, Docker, Kubernetes
A structured approach to delivering exceptional results, from discovery to deployment.
Understanding your business goals, data landscape, and technical requirements.
Designing scalable solutions aligned with industry best practices and your constraints.
Building robust systems with clean code, comprehensive testing, and documentation.
Continuous monitoring, performance tuning, and knowledge transfer to your team.
Ready to transform your data capabilities? I'm available for consulting engagements, technical advisory, and full project implementations.
Available Worldwide from Ecuador (Remote)