● PORTFOLIO / 2026
LEGAL TECHNOLOGY | AI OPERATIONS | SECURITY
• CAREER FOCUS
Structured testing that compares tools, prompts, outputs, and workflow fit before adoption decisions are made.
Practical systems that turn fragmented work into repeatable processes with clear human checkpoints.
Guardrails, governance, access controls, and human review practices that keep AI adoption accountable.
● AI EVALUATIONS
Three enterprise AI exercises focused on faithful output, communication risk, and policy-aware review.
Reviewed an AI-generated incident summary against known facts, checking for unsupported assumptions while preserving concise incident communication.
FACTUAL FIDELITY · KNOWN FACTS · ASSUMPTIONSLesson Polished output is not necessarily faithful output.
Reviewed an AI-assisted communication draft for tone, certainty, factual discipline, unsupported assumptions, and unnecessary commitments or implications.
TONE · CERTAINTY · COMMITMENTSLesson Communication risk includes factual errors, tone, certainty, promises, and implied commitments.
Reviewed an enterprise AI response for source authority, security controls, policy alignment, governance, information boundaries, and usability.
SOURCE AUTHORITY · SECURITY · POLICYLesson Technically useful output still needs validation for source authority, security requirements, and enterprise policy.
● NEW CHAPTER
A working set of personal AI operations, workflow, evaluation, and security explorations, kept separate from completed featured work.
A manually curated personal AI operations and intelligence dashboard for tracking official signals, adoption themes, tools under test, and one working note.
Curated / Updated ManuallySmall, focused workflow prototypes exploring where AI can reduce friction, improve consistency, or assist decision-making while preserving appropriate human review.
Workflow Design · Automation · Human ReviewOngoing tests examining how AI behavior changes across task type, prompt structure, grounding, constraints, and validation requirements.
Evaluation · Validation · Model BehaviorExploring the security considerations surrounding enterprise AI adoption, including sensitive-data handling, prompt injection, access boundaries, output trust, and appropriate human controls.
Security+ · Risk Awareness · Responsible AI Use● INDEPENDENT PROJECTS
Public-data workflows, automation, reference tools, and independent products built around structured problem solving.
● ABOUT
More than 25 years in enterprise technology, with experience across global law firms, consulting, and large-scale technology environments. Recent hands-on work includes legal technology, enterprise AI evaluation exercises, workflow improvement, and CompTIA Security+ certification.
For professional conversations and project inquiries.