Hi, I'm Jose Baez — Sr. Cloud Support Engineer
Experienced IT professional with 13+ years in the financial and government sectors, specializing in AWS, Azure, and hybrid cloud environments. Proven track record managing and optimizing infrastructure, supporting HPC and banking data processing systems, and leading migrations of trading and market data pipelines to AWS. Based in New York, NY — passionate about cloud infrastructure, DevOps, and Linux systems.
Projects
GuardRailScan
Automated red-teaming and remediation tool for LLMs, RAG pipelines, and AI agents. Fires adversarial probes, scores every response with a judge LLM, classifies risk severity, and produces a step-by-step audit report.
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URL Shortener with Real-Time Analytics
A production-grade Bitly-style URL shortener built on Kubernetes (AWS EKS) with real-time click analytics — geo data, referrer sources, and device breakdown updated via async background processing.
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AI Slack Bot Agent
A serverless AI agent on AWS that receives natural language questions via Slack, reasons using AWS Bedrock (Claude Haiku), calls real AWS tools — DynamoDB, S3, web search — and posts structured answers back to the channel.
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Writing
Fine-Tuning a Private LLM on AWS — Task-Specific, Secure, and Cost-Effective
A practical guide to tuning an open-weight LLM for a specific business task on AWS — covering data preparation, LoRA/PEFT fine-tuning with SageMaker Spot instances, security hardening with KMS and VPC, and keeping the entire pipeline under $10.
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AI Guardrails Security — Misconfigurations, Attacks, and Defenses
A deep-dive into the guardrail architectures of Claude, ChatGPT, Gemini, and Llama — covering the most common misconfigurations with fixes, real-world attack vectors, and a practical defense-in-depth checklist for production LLM deployments.
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