📍 Buenos aires ↔ Global | 🏗️ Data & Backend Systems Architect | 📊 Causal Inference Specialist
Bridging the gap between robust data infrastructure and statistical rigor. I build systems that don't just move data, but ensure it is causal, reliable, and decision-ready.
𝟏𝟗 nineteen (Featured) – local personal assistant with a claude-like interface to run on pc-only machines.
- 💸 priceinsight – bayesian causal inference system for price optimization and profit maximization in eCommerce.
- 🧠 Causalito - RAG agent oriented in answering bayesian causal inference questions.
- 🗣️ HN Analytical Platform - Batch data lake used to ingest data from HackerNews public API, process it and gain some insights using NLP.
- 🏦 Modern Banking Analytics Platform (dbt) - data transformation dbt project for handling banking data about transactions, users and investing.
- ✴️ IoT Data ETL Pipeline - batch pipeline to process IoT sensor data using pyspark and airflow orchestration.
- 🏩 Booking BA scraper - playwright web scraper used to extract hotel pricing data in Buenos Aires.
- 🏪 Ecommerce reporting etl - etl pipeline to generate quick business insights about ecommerce data.
- 🔎 Web server logs analysis - diagnosing the performance and availability of a web server using SQL analysis on 1,000 access logs.
- Automating Engineering workflows - Developing tools that eliminate manual code reviews for statistical models.
- Deep-diving into Causal Inference - Applying Bayesian frameworks to solve real-world business attribution problems.
- Writing technical insights - Simplifying complex systems and data engineering concepts on Medium.
- Teaching at Scale - Leading the Causal Inference track, translating math into scalable software.
- Why Data Engineers must understand Causality
- Beyond Linters: Automating Code Reviews with Kullback-Leibler Divergence
- From \xa0230,821 to a Clean Float: A Deep Dive into Scraping and Structuring Booking.com Data
- Technical Lead and Backend Developer at Bayes Plurinacional for Bayesian Causal Inference.
- Developed internal tools used by 50+ engineers/students daily.
- Built and shipped 10+ production-grade data pipelines.
"Data without causality is just noise." I focus on building tools that provide clarity, automate the mundane, and scale the expert's intuition.
Random Facts
- I prefer a clean CLI over a complex GUI any day.
- Can explain MCMC while making a decent espresso.
- Fan of "Software Engineering at Google" practices.
- Currently reading: "The Book of Why" by Judea Pearl.