Selected work
Engineering work and focus areas
A generalized, privacy-safe view of the kind of work I lead and build. Details are kept high-level by design — the intent is to show scope and approach, not internal specifics.
- 01
Customer Engineering and Support Systems
Built and led teams around customer-facing engineering workflows, escalation handling, integration support, and operational tooling.
Focused on turning reactive support into a durable engineering function: clearer escalation paths, better integration support, and tooling that reduced repetitive operational load.
- 02
Platform, Data, and Infrastructure
Led modernization efforts across high-volume event data, warehouse and reporting systems, analytics workflows, and operational visibility.
Prioritized reliability and observability as first-class concerns — treating data infrastructure and reporting as products the business depends on rather than back-office plumbing.
- 03
Security and Compliance
Owned or supported engineering-side security, audit readiness, process improvements, and cross-functional risk reduction.
Worked across engineering and adjacent functions to make security and compliance a steady operating rhythm rather than a periodic scramble.
- 04
AI-assisted Engineering Operations
Designed practical workflows using AI coding tools, internal agents, structured prompts, and automation to reduce repetitive engineering work.
Emphasis on leverage over novelty: workflows that hold up in daily use, with guardrails, review, and clear ownership rather than one-off demos.
- 05
Forward Deployed Engineering
Independent product and workflow experiments in agentic systems that execute real business operations, rather than add conversational UI to existing software.
LeaseLab is the primary proving ground: an event-sourced property-management system where agents observe rent and maintenance state, detect genuine operational exceptions, act within explicit human-set boundaries, and hand physical-world steps back to a landlord before resuming ownership of the workflow. Also testing whether a resolved exception — not a seat, a token, or a feature used — is a more honest unit of software value than the usual SaaS metrics.
- 06
Homelab and Infrastructure
Maintains a private infrastructure environment across networking, storage, virtualization, Kubernetes, monitoring, and automation.
A hands-on environment for staying close to the systems layer — networking, storage, virtualization, and automation — that informs how I lead infrastructure work.