I build backend systems, deterministic workflow automation, data platforms, and operational software where execution is observable, recoverable, and backed by evidence.
My engineering background spans enterprise Oracle PL/SQL, C# / ASP.NET, and modern application development with Node.js, PostgreSQL, React, Python, Docker, and Temporal. I enjoy turning complex operational processes into systems with clear contracts, measurable behavior, and reliable recovery paths.
My current focus is reusable architecture for workflow orchestration, data engineering, backend services, observability, and AI-assisted software delivery.
Deterministic workflow automation for controlled execution, durable orchestration, and inspectable evidence.
SkyCommand is a full-stack workflow platform built around deterministic control flow and durable execution. Developers can register tools, compose visual workflows, add approvals and conditions, schedule execution, inspect structured results, and diagnose performance through phase-level telemetry.
Highlights
- Temporal-backed durable workflows with retries, approvals, branching, and recovery.
- Registered tool execution with typed parameters and structured output contracts.
- Human-in-the-loop controls for sensitive or high-impact operations.
- Docker operations, infrastructure observability, and durable audit evidence.
- Git repository automation with guarded host-native execution.
- Operational dashboards, execution history, diagnostics, and performance telemetry.
More backend, data-engineering, and analytics systems are being prepared for public release.
| Area | What I care about |
|---|---|
| Workflow Automation | Deterministic control flow, durable execution, retries, approvals, recovery, scheduling, and evidence. |
| Backend Systems | Clear service boundaries, APIs, operational state, idempotency, diagnostics, and maintainable architecture. |
| Data Engineering | Portable ingestion, data contracts, PostgreSQL design, quality rules, revisions, freshness, and replay. |
| Observability | Structured results, phase-level telemetry, audit trails, execution history, and measurable performance. |
| AI-Assisted Engineering | Faster implementation with testing, validation, review, and human judgment kept firmly in the loop. |
Clear contracts over hidden assumptions.
Durable evidence over mystery-box automation.
Reusable architecture over one-off machinery.
Observable systems over silent failure.
Optimize after telemetry shows where the time actually went.
Live profile telemetry and the Pac-Man contribution graph are regenerated automatically from public GitHub activity.
I am interested in engineering opportunities involving backend development, data engineering, deterministic workflow automation, analytics platforms, and AI-enabled software delivery.
Build systems that explain themselves.