Federal healthcare · Production work
~2 hours → <1 minute
From a two-hour wait to under a minute
Replaced a report polling cycle with AWS SQS events and delivered the integration across team boundaries.
Read case studyJosh Zirena · AI Tech Lead
AI systems that work.
Teams that deliver.
I build AI platforms and backend systems for healthcare and financial services. Nine years of engineering, hands-on technical leadership, and a focus on making production systems measurable and reliable.
Miami, FL Remote US & South Florida
Core stackTypeScript / Node.jsPython / GoAWS / TerraformPostgreSQLKubernetes
Selected work
Engineering decisions. Tangible results.
The problem, my contribution, and what changed. Start with the work most relevant to your team.
Public health · Production work
Manual checks → daily evaluation
Making AI quality measurable, every day
Built scheduled answer and retrieval evaluation for a public health RAG assistant, with production traces in Langfuse.
Read case studyNestmind · Personal project
AI interprets · the database calculates
Natural-language questions. Database-calculated answers.
Built a feeding tracker that turns plain-English questions into averages and charts, with the database as the system of record.
Read case studyHow I contribute
Hands on with the code.
Accountable for the outcome.
I connect implementation with technical direction: helping teams understand the system, make tradeoffs, and deliver across boundaries.
More about how I work →- AI platform engineering
- MCP registration, authentication, configuration, and tool routing. A technical point of contact for teams integrating with the platform.
- Backend ownership
- Event-driven services, AWS infrastructure in Terraform, and deployment safeguards that prevent failed migrations from being promoted.
- Technical leadership
- Led teams of three and six engineers. Code review, delegation, mentoring, and giving engineers work they can own end to end.
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Ask about my experience.
This site includes a RAG assistant built around my public résumé and case studies. Ask about AI evaluation, backend architecture, or technical leadership, and follow its source citations.
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Building an AI platform or backend team?
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