Alvin De Castro

Backend-focused AI automation engineer building practical, testable AI systems in Go.

I work on AI products that connect LLMs to real workflows: RAG, agents, workflow automation, evals, observability, and privacy-aware integrations. My focus is not just making a chatbot respond, but making a system that can be tested, audited, deployed, and improved.

Featured AI Projects

Project	Domain	AI Pattern	Backend	Evidence
Wiremind	Cybersecurity	Multi-agent investigation	Go, Python, Redis, Postgres	PCAP metrics, reports, observability
GroupScout	Sales intelligence	AI enrichment + automation	Go, pgvector, Slack, SendGrid	Scraped sources, scoring, alerts
AskOC MVP	Higher ed	RAG + workflow automation	Go, mock enterprise APIs	Evals, privacy boundary, smoke tests

What I Build

• AI workflow systems that connect LLMs to real business processes
• RAG systems over approved knowledge sources
• Agentic pipelines with clear boundaries and human handoff
• Go services with tests, traces, logs, and deployment-minded structure
• Practical AI tools for education, security, sales intelligence, and operations

Current Focus

I am exploring local and hybrid AI systems using Go, Qwen/Ollama, OpenTelemetry, eval gates, and workflow automation. I am especially interested in AI systems that are useful, bounded, observable, and safe to operate.

Tech I Use

Go, Java, Spring Boot, TypeScript, React, Python, PostgreSQL, Redis, Docker, OpenTelemetry, Playwright, Claude, Ollama, LangGraph, pgvector, Prometheus, Grafana.