Fernando Javier R.

Data Scientist based in El Salvador (Central Time, UTC-6), currently working remotely with a New York-based analytics team. I design end-to-end data and AI solutions — from predictive modeling to production LLM integration — and I've been doing distributed, async-friendly remote work for US and international clients for over 5 years. At Invar Technologies, I build analytics solutions for a manufacturing company: Power BI dashboards sourced from Oracle and SQL Server, predictive out-of-stock forecasting models, and automated Power Automate flows orchestrating API-driven data ingestion. Earlier, as a Cloud & ML Engineer at Fiado App (a Salvadoran fintech), I built and maintained production predictive models (LightGBM) automated via AWS Lambda, alongside ETL pipelines and automated image-analysis procedures. Over the past year I've focused increasingly on integrating AI directly into development and data workflows: I built an end-to-end document generation pipeline (Python + Claude API + WeasyPrint) with automated test generation and rubric-driven quality iteration, and designed Git automation workflows (automated commits via hooks, parallel session management with worktrees) for AI-assisted development. Alongside client work, I teach — Professor of Computer Science at Key Institute, Instructor for FEPADE's Business Intelligence & Data Science programs (14+ professional training modules delivered to date), and adjunct professor of Databases and BI at UCA. I've also provided Microsoft 365 commerce/licensing support to clients across Latin America and Spain for 5+ years as a freelancer. Core stack: Python · Azure · AWS · SQL Server · PostgreSQL · Oracle · Power BI · Power Automate · LightGBM · LLM/API Integration · ETL/SSIS Open to remote data science, ML engineering, or AI integration roles — especially with US-based teams. Feel free to connect or reach out.