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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 05

    Product Experiments

    Independent product and workflow experiments exploring agentic tooling for real operational problems.

    Small, self-directed builds — including LeaseLab and LandlordLab — used to test ideas about applying AI-native workflows to property and lease operations.

  6. 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.