David George Smith
Full Stack Senior Engineer
Engineering Manager
Product Owner
AI Enablement Lead
I don't fear AI taking my job — I'm the one who decides how AI gets deployed, trained, measured, and governed on engineering teams. I sit above the automation layer: I set strategy, manage humans, own product decisions, and build the systems that make AI useful at scale.
Summary
Senior Full Stack Engineer, Engineering Manager, and Product Owner with 7+ years building and leading high-performing teams. Specialized in AI enablement at the organizational level: I architect the LLM-powered tools, MCP integrations, and adoption frameworks that let engineering teams move 3× faster — then manage the people who use them. I have led scrum ceremonies, owned product roadmaps, managed cross-functional stakeholders, and calculated ROI on AI investments for CTO-level audiences.
I build AI systems. I also build the teams that use them.
Where I Sit in the AI Era
👤
Strategy & Leadership
Set AI adoption strategy · manage engineers · own product roadmap · make build-vs-buy decisions · measure ROI · communicate value to executives
🔧
Systems Architect
Design MCP integrations · define AI tooling standards · architect automation pipelines · evaluate models and vendors · own the technical vision
🤖
AI / Copilot layer
Writes code, generates tickets, runs tests, drafts docs — under my direction and within systems I built
⚙️
Junior / mid engineers
Execute tickets, review AI output, ship features — guided by my technical standards and sprint planning
Experience
2021 — Present
Senior Tech Lead · Engineering Manager · Product Owner
Led the digital marketing engineering org from company launch (Intel SSD business acquisition) through full AI transformation. Managed cross-functional engineering teams, owned product roadmaps, and drove AI tooling adoption across the organization.
- Architected Figma → Jira / Wiki automation using Gemini 2.0 Flash + MCP, eliminating manual ticket and doc creation across product and engineering org
- Built Copilot ROI Dashboard — real-time adoption benchmarks, AI analysis, and ROI calculator presented directly to CTO-level stakeholders
- Designed QA test case automation pipeline via Storybook and MCP servers; reduced manual QA burden team-wide
- Created and led AI Learning Series — org-wide curriculum (MCP, Skills, IDE optimization) that accelerated adoption velocity and reduced license waste
- Migrated TCO Estimator and Endurance tools in-house saving ~$50K/year; live at solidigm.com
- Led solidigm.com website redesign as PO + EM — hired team, ran vendor selection, modernized to AI company aesthetic
- Managed company launch engineering: Intel TSA exit, SSO, SmartRecruit, MSD, PIM, and training portal integrations
AEM / HTL
Java
TypeScript
React
MCP Servers
LLM / Claude
GitHub Copilot
Jira
Storybook
Apache Sling
OSGi / Maven
2019 — 2021
Full Stack Engineer
Modernized legacy marketing technology platforms and optimized API integrations for a B2B demand generation company serving Fortune 500 clients.
- Migrated and modernized legacy front-end systems, improving performance and maintainability across core product surfaces
- Optimized API integrations supporting marketing analytics data pipelines at scale
JavaScript
Node.js
REST APIs
MySQL
PHP
2017 — 2019
Full Stack Engineer
Built a full-stack lab tracking system for the UC Pavement Research Center, replacing manual spreadsheet workflows with a structured, auditable web application.
- Designed and shipped end-to-end lab sample tracking system used daily by research staff
- Managed data integrity pipelines from field collection to centralized database
JavaScript
PHP
MySQL
HTML / CSS
Selected Projects
Real-time executive dashboard surfacing GitHub Copilot adoption trends, team-level benchmarks, and ROI calculations — built to make the business case for AI investment legible at the CTO level.
Gemini 2.0 Flash + Figma MCP integration that auto-generates Jira tickets, wiki docs, and QA test cases from design frames. Eliminates manual documentation labor across the org.
Fastify + PostgreSQL + Redis platform with MCP integration that converts user feedback into GitHub PRs autonomously. Structured AI response validation, rate limiting, and GitHub App OAuth.
Production family tree SaaS — React Flow graph visualization, Google Drive photo integration, Stripe subscriptions, geo mapping, AI-powered bios, RBAC collaboration, 36-test suite.
Next.js 15 AI travel planner powered by Claude AI and Supabase. Multi-city trip planning, smart packing lists, budget tracking, and collaborative trip sharing with real-time streaming.
TypeScript CLI that uses Claude Haiku to generate platform-optimized social posts from a single prompt, auto-posting to Bluesky and Twitter with character-limit awareness and tone control.
Skills
Leadership & Product
Engineering Management
Product Ownership
Scrum / Agile
Stakeholder Management
ROI Analysis
Technical Strategy
Vendor Evaluation
AI & LLM
MCP Servers
LLM Integration
AI Enablement
Claude / Claude Code
GitHub Copilot
Figma MCP
Agentic Workflows
DataIku
Languages & Frameworks
TypeScript / JavaScript
Node.js / NestJS / Fastify
React / Next.js / Angular
PHP
Python
Java / AEM / HTL
C++
Swift
Infrastructure & Data
AWS
Docker
Vercel / Render
GitHub Actions / CI·CD
Supabase / PostgreSQL
MongoDB
MySQL / MSSQL
Redis
Snowflake
DataIku
Education
2013 — 2017
Bachelor of Science — Computer Science
Rohnert Park, CA · Senior Design Project: CWolf Whisper (Swift / iOS)