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Jenjineer/README.md

Jennifer Serafini

Principal Software Architect specializing in AI systems governance, secure pipeline design, and federal data engineering.

I design systems where safety is enforced by architecture, not by policy. Models violate prompt-based restrictions at rates between 20 and 62 percent. Architecture does not.

Focus Areas

  • Agentic AI pipeline architecture with deterministic control planes
  • Governed AI developer tooling and MCP server design
  • Architecture-enforced guardrails against LLM hallucination and capability abuse
  • Federal data engineering under GovCloud and FedRAMP-adjacent constraints
  • Failure mode driven design - I start from what can go wrong

Currently

  • Principal Software Engineer, Architect & Technical Lead at NIEHS/NIH (ASRC Federal)
  • Contributing to the OWASP Agent Security Regression Harness
  • Accepted to Georgia Tech OMSCS, ML/AI Security, Fall 2026
  • Building MinderCare - a privacy-first, offline-first clinical care management app

Portfolio

Federal File and Metadata Extraction and Migration

Connect

LinkedIn


Active DoD Secret Clearance

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  1. Agent-Security-Regression-Harness Agent-Security-Regression-Harness Public

    Forked from OWASP/Agent-Security-Regression-Harness

    Executable security regression testing for agentic applications and MCP-integrated systems.

    Python

  2. portfolio portfolio Public

    AI systems architecture, secure pipeline design, and federal data engineering