Designing reliable, human-centered systems where product, AI, and operations meet.
🏢 Solutions Architect @ McGraw Hill • 🇨🇦 Canada • 🎓 EdTech • 🛒 Ecommerce • ⚙️ SaaS & Automation
I’m Scott Hardie, a Solutions Architect at McGraw Hill with 15+ years across education technology, digital platforms, and applied automation.
My career arc spans:
- 🎓 Academic research & university instruction
- 🏢 Enterprise publishing, portfolio & product management
- 🧩 Digital consulting & solution architecture
- 🤖 AI-assisted systems and operational tooling
That arc matters. It lets me translate
business intent → technical architecture → shipped product
without losing usability, trust, or operational sanity.
I don’t chase novelty. I build systems that hold up.
I sit at the overlap of product, engineering, and operations.
My default principles:
- 🧩 Reduce fragmentation before automation
- 🔍 Prefer deterministic behavior over opaque “magic”
- 🧠 Human-in-the-loop by default
- 🚢 Optimize for what survives contact with reality
If it can’t be explained, debugged, or governed — it doesn’t ship.
- TypeScript / JavaScript (Node.js)
- Python
- SQL
- Bash
- Next.js (App Router)
- React
- Tailwind CSS
- Headless UI
- Conversion-focused UX patterns
- Supabase (Postgres, Row-Level Security)
- Edge Functions
- REST & webhook-driven APIs
- Multi-tenant data boundaries
- Applied AI agents
- Workflow orchestration
- Human-in-the-loop systems
- MindStudio & custom agent patterns
- Deterministic fallbacks & auditability
- Shopify (Liquid + headless patterns)
- Stripe (subscriptions, billing, metering)
- Product feeds & inventory logic
- Checkout & conversion optimization
- GitHub Actions (CI/CD)
- Environment safety & rollout discipline
- Failure-mode thinking
- Observability-first mindset
- Hardonia — Ecommerce, research & automation platform
- eCommerce-Manager — AI-assisted ecommerce operations
- AI-Agent-Portfolio — Practical AI agents
- hardonia-intel-scraper — Research automation
Alongside public repositories, I’ve worked on internal and early-stage platforms including:
- 🔐 Settler — automated reconciliation & data-matching concepts
- ⚙️ AI Automated Systems — applied AI workflows for operational review
- 🧪 ReadyLayer — tooling around software quality, review, and governance
- 🗝️ Keys — product concepts focused on usability, guardrails, and adoption
These efforts emphasize system boundaries, product clarity, and operational reality over speculative AI.
🏅 Selected as 1 of ~500 participants in the MindStudio AI Agent Certification Bootcamp.
Focus areas:
- Webpage & document summarization
- Research aggregation & synthesis
- Ecommerce & content support tooling
- Operational automation
Agents are designed to be remixed, embedded, governed, and measured — not treated as demos.
Reduce friction ✨
Automate responsibly 🤖
Keep humans in control 🧠