AI Innovation & Enablement Specialist

Bridging artificial intelligence, human behavior, and product design to help organizations adopt emerging technologies and scale operational efficiency.

Technical Execution: I build full-stack AI applications integrating Claude/OpenAI APIs, utilizing TypeScript, React, PostgreSQL, and Supabase for structured data retrieval and prompt validation.
Strategy & Consulting: I specialize in rigorous LLM evaluation, workflow optimization, usability benchmarking, and synthesizing complex technical findings into actionable executive intelligence.
Enterprise Enablement: I scale AI adoption. From prompt library frameworks to training sessions, I have driven 21% efficiency gains across 100+ non-technical users in enterprise environments.

Solving Business Problems with AI

I approach product development and technical enablement through the lens of human behavior. Here's how I design workflows and evaluate systems.

AI Adoption Case Study: Workflow Optimization

Instructional Design Process Automation Workflow Design
The Problem

Teachers struggled with differentiation workload, spending excessive administrative hours adapting curriculum for diverse learner profiles, leading to burnout and workflow bottlenecks.

The Solution

Designed and implemented targeted AI workflow training. Developed comprehensive prompt architectures and automated data-processing pipelines to streamline cohort documentation and lesson differentiation.

+21%
Efficiency improvement in operational tasks and differentiation speed across tracked educators.

AI Workshop Example: Practical Generative AI

Training & Enablement Curriculum Design Public Speaking
Audience & Learning Objectives

Audience: K-12 Faculty & Administrative Staff.
Objectives: Prompt engineering fundamentals, hallucination mitigation, workflow automation, and designing AI-resilient assessments.

Materials

Delivered via interactive presentation modules and hands-on capstone projects. [View Workshop Slides]

+40%
Outcomes: Increased daily active AI usage among attendees and successful workflow replacements.

Evaluating Generative AI for Reliability

LLM Evaluation Usability Testing AI Trust
The Challenge

Enterprise adoption is often blocked by hallucination risks, friction in human-AI interaction, and unpredictable model failure modes.

System Architecture & Solution

Established structured evaluation frameworks measuring reliability, latency, and logical consistency. Benchmarked leading models across specialized, high-stakes tasks to identify edge-case failures and inform safer adoption guidelines.

150+
Evaluation test scenarios executed, mapping model behavior to human-interaction failure points.

Deen Detectives: AI-Assisted Product Development

React / TypeScript Supabase UX Research
The Challenge

High onboarding drop-off and engagement friction required a robust, scalable digital platform that could adapt to individual user learning curves.

System Architecture & Solution

Built a full-stack platform leveraging React, TypeScript, and Supabase. Integrated LLM-assisted content generation loops and ran iterative A/B testing to refine UI friction points.

87/100
System Usability Scale (SUS) score achieved post-launch, placing the app in the top 10% of industry benchmarks.

The AI & Data Toolkit

My technical stack bridges the gap between raw model capabilities and robust, human-centered product architecture.

🧠 Generative AI & Workflows

Claude API ChatGPT / OpenAI Prompt Architecture JSON Schema Validation LLM Benchmarking

⚙️ Development & Infrastructure

TypeScript & React SQL (PostgreSQL) Supabase Cursor IDE Vercel / Netlify

📊 Behavioral Research

Usability Testing A/B Testing Inferential Statistics (ANOVA) SPSS & R Qualtrics