- 🎓 5th-semester Data & AI Engineering student at Universidad Politécnica de Yucatán
- 🔧 Solid foundation in data engineering: ETL pipelines, SQL, cloud infrastructure (AWS ECS Fargate), Terraform, Docker
- 🤖 Currently deep in LLM agent orchestration — LangGraph, multi-agent Blackboard architectures, local SLMs via Ollama
- 📊 I like turning raw data into systems people can actually use: pipelines, dashboards, and now agentic AI on top of them
- 🔭 Preparing for a professional internship (Sept 2026) building a multi-agent AI system
- 📫 Reach me at fernandezcastillowilliam@gmail.com
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📊 PulseCore DC Dashboard Cloud-native dashboard for monitoring and analyzing the Mexican data center market, deployed on serverless container infrastructure. Full IaC deployment with Terraform + CI/CD via GitHub Actions.
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🦠 COVID-19 Mortality Analysis End-to-end analysis pipeline (cleaning → cohort analysis → time series) feeding an interactive Power BI dashboard on COVID-19 mortality in Mexico.
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🌡️ Climavis Interactive climate data platform for Mexico with a REST API backend and full database integration.
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🛡️ TUP-detection (team project) Hybrid prompt-injection detection engine, built with my team at the Apart Research Global South Hackathon 2026. I contributed to the detection pipeline. 95.1% PINT balanced accuracy via regex → Presidio NER → LLM judge (qwen2.5-coder:3b), mapped to OWASP LLM Top 10 & MITRE ATLAS.
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Languages
AI & Agents
Cloud & DevOps
Data & Backend
