What I build — and the technology behind it
What I can design and build end to end — each one backed by shipped products, open-source libraries, or production systems.
Product Engineering
Complete products end to end — execution engines, visual editors, plugin systems, and the architecture that ties them together.
AI Platforms
LLM, RAG, and agent systems designed for production: evaluation, cost, and reliability.
Machine Learning Infrastructure
Training, deployment, monitoring, and AutoML — the domain of my open-source libraries.
Data Engineering
Pipelines, streaming, and data platforms that keep complex systems fed and reliable.
Cloud Architecture
Containerized platforms, CI/CD, and infrastructure as code on Azure.
Python Ecosystem
Libraries published on PyPI and conda-forge, with public documentation and CI.
Technology
The tools I reach for most — and the ones I bring in when a project needs them.
Core stack
Python
OpenAI LLM's
MongoDB
Docker
Azure
Redis
Git
Postgres
Also in the toolbox
MySQL
Bash / Terminal
Snowflake
Airflow
JS
CSS 3
React
Kafka
Power BI
Professional Experience
From data analytics to ML engineering and technical leadership.
Senior ML Engineer
EPAM Systems
Leading ML engineering initiatives and AI strategy for enterprise clients. Specialized in production ML systems, LLMs, and RAG implementations.
Sr Data Scientist
Globant
Built AutoML models and made them available to non-technical users from a graphical interface.
BI Manager
Rappi
Led a team of analysts and data scientists delivering ETLs, data lakes/warehouses, and ML models.
CRM Analytics Coordinator
Avianca
Tech lead for BI, Data Science and DBA team. Built forecasting models, a data warehouse and Power BI dashboards.
BI Analyst
OneLink
Built interactive dashboards, ETLs and SQL queries to show company KPIs.