Format: templates/FIX_LOOP_PACKET_TEMPLATE.md
Request Packet: templates/REQUEST_PACKET_TEMPLATE.md
Engagement guide: ENGAGEMENT.md
Public boundary: PUBLIC_BOUNDARY.md
LLM Evaluation | AI Governance | Fix-oriented testing
This repository is a public-safe landing page for interviewing and hiring me.
It contains no private research materials and no client data.
I run fix-oriented evaluations for LLM systems.
The output is not a score. The output is a closed loop:
baseline, failure map, patch pack, retest proof, regression set.
LLM evaluation and QA
Responsible AI and AI governance
GenAI risk and testing
Red-team style evaluation support for LLM applications
A Fix Loop Packet that answers: what failed, why it failed, what to change, and how to verify it stays fixed.
Format: templates/FIX_LOOP_PACKET_TEMPLATE.md
Async is great. If you’d like a fast, concrete view of how I work, send a bounded target and constraints using the Request Packet. I’ll respond with a Fix Loop Packet format and a retest plan.
Request Packet: templates/REQUEST_PACKET_TEMPLATE.md
Engagement guide: ENGAGEMENT.md
Email: alyssa.solen@gmail.com
LinkedIn: linkedin.com/in/alyssadatascience
GitHub: github.com/alyssadata
X: x.com/alyssasolen
Location: Sarasota, FL / Atlanta, GA
Work mode: Remote