Software / cloud / AI
Software, Cloud, and AI
Bridge devices, backends, dashboards, integrations, and human-review-friendly automation. Patterns favor clarity first: reproducible deployments, sane logging, pragmatic security, operational empathy so small teams stay unblocked.
Working together
Most projects start by anchoring uncertainties, timelines, and the next credible demo or pilot milestone.
Based in Ottawa, Ontario. Supporting local and remote clients.
Problems this helps solve
- Your prototype exposes data but lacks auth, versioning, observability–or a rollback story.
- Internal processes copy-paste between spreadsheets, ticketing, CRM, inventory, without durable glue.
- You need pragmatic AI-assisted extraction or drafting with explicit review gates–not black-box autonomy.
- Edge devices produce awkward payloads nobody wants to parse twice.
Typical deliverables
- Thin vertical slices exposing device or business data responsibly
- API contracts consumed by prototype frontends or internal tools
- Deployment notes appropriate to maturity (often composable Docker, IaC-lite as warranted)
- Logging/metrics breadcrumbs for debugging flaky pilot hardware
- Workflow automations bounded by correctness requirements and escalation paths
Tools and process
- Python, TypeScript/JavaScript ecosystems; occasional Go or JVM where fit
- REST, MQTT, cron/worker pipelines, pragmatic queues where necessary
- Cloud-native building blocks proportionate to client operating reality
- AI tooling where hallucination tolerance and human checkpoints are documented
Who it is for
- Hardware ventures needing an honest gateway-to-cloud storyline
- SMBs bridging operations software without full-time platform teams
- Educators shipping lightweight companion apps or lab utilities
Example project types
- Device shadow + command channel for pilot fleets
- Internal invoice or intake normalizers with audited human approval
- Prototype analytics views over CSV/MQTT streams
- AI workflow automation scoped to repeatable document classes
Start a project conversation
Share constraints, timelines, and the outcome you want to prove next.