Backend engineer building data & quant systems. I build event-driven Python microservices and data/ML systems.
🔭 Currently building a real-time algorithmic trading platform. 🎓 Data Science @ UNSAM (Buenos Aires) · 🇪🇸 Native · 🇩🇪 C1 · 🇺🇸 B2
A production-grade event-driven trading platform (private): async Kafka workers, FastAPI REST APIs, PostgreSQL + SQLAlchemy/Alembic, saga-style distributed transactions for multi-wallet fund management, Redis state caching, and 1,500+ pytest tests. Distributed, fault-tolerant, and self-healing under real money.
- buscasam — Academic search system for the UNSAM community.
- polyglot-dwh — Polyglot analytical data warehouse for an academic search platform (UNSAM): PostgreSQL/Supabase OLTP (3NF) + Kimball star-schema DWH, incremental Python ETL on GitHub Actions, Redis Cloud (RediSearch, JWT blacklist, rate limiting), pgvector semantic search, and Power BI dashboards.
- potrerillos-wind-forecast — Hourly wind forecasting with SARIMA/LSTM; walk-forward eval, 28% RMSE improvement over benchmark.
- quant-strategies — Framework for developing and backtesting quantitative strategies (vectorbt + Optuna optimization).



