📍 Buenos Aires Province, Argentina · Remote | Fullstack Software Engineer | Cloud & Serverless Architect | Data & Causal Inference
I build systems that stay fast, secure, and cost-aware under pressure — from fintech workflows and real-time architectures to data pipelines and causal decision engines.
- Fullstack Software Engineer | Cloud & Serverless Architect at a stealth US mortgage platform.
- Reduced redundant backend calls by 22M invocations per week, cutting AWS Lambda and DynamoDB costs.
- Secured 71M historical records, redacting plaintext OAuth/API credentials and adding automated safeguards.
- Replaced polling with API Gateway WebSockets + DynamoDB Streams for sub-2s updates on critical loan events.
- Orchestrated 50+ AWS Lambdas and 30+ external APIs to reduce loan closing times from 30 days to under 7.
- Built resilient serverless backends with TypeScript, SQS, Cognito, and React for a platform serving 200+ clients.
𝟏𝟗 nineteen (Featured) – local personal assistant with a claude-like interface for pc-only machines.
- 💸 priceinsight – Bayesian causal inference system for price optimization and profit maximization in eCommerce.
- ⚙️ Causal Data Quality Auditor (CLI) – CLI tool used to detect data drift between training and prod datasets.
- 🧠 Causalito – RAG agent oriented around Bayesian causal inference questions.
- 🏦 Modern Banking Analytics Platform (dbt) – data transformation project for banking, transactions, users, and investing.
- ✴️ Hotel Lakehouse Pipeline - Serverless Batch Processing on AWS – serverless batch pipeline for hotel pricing data in Buenos Aires.
- 🗣️ HN Analytical Platform – batch data lake ingesting Hacker News public API data and extracting NLP insights.
- 🎢 Subscription Revenue Modelling (dbt) – analytical modelling of Annual Recurring Revenue (ARR) for a subscription business.
- Why Data Engineers must understand Causality
- The Architecture of Silence: Why Your RAG System Needs to Learn to Say “I Don’t Know”
- A Broken Window: Why Software Entropy is the Silent Killer of Data Pipelines
- 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.
Complexity is the enemy. I document decisions, measure impact, and build systems that are reliable by default.
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.