Primary technical owner of Neo through the post-acquisition era — sole architectural responsibility for 200–500 concurrent Windows agents across Fortune 500 environments.

Led a two-week rescue of a regional U.S. medical-system deployment: decomposed an ambiguous multi-system escalation into concrete environment issues, separated false positives from real blockers, and designed a phased rollout — restoring customer confidence in a multi-million-dollar commitment.

Designed the cross-functional support operating model for field diagnostics — escalation SLAs, required-fields templates, and boundary documents that reduced CS response time from ~2 weeks to ~2 days.

Shipped per-app runtime controls for the remote control plane, enabling privacy-sensitive capture policies across customer environments without redeployment.

Sole platform engineer for Neo as FortressIQ scaled from startup to enterprise product with Fortune 500 customers. Owned the agent, data pipeline, and deployment system end-to-end while also serving as de facto hiring manager and cross-functional technical lead with data science.

Built the organization's only instrument to measure hidden data loss across three pipeline stages — where the aggregation layer structurally masked upstream gaps. Designed a reusable SQL diagnostic framework and revealed data-quality gaps invisible in downstream reporting.

Resolved a Fortune 500 production escalation by building a custom diagnostic utility overnight, isolating root cause through controlled experiments after eliminating three false hypotheses. Customer IT resolved within a single one-hour session.

Initiated and designed Neo's remote-control-plane architecture — replacing static local settings with traceable cloud-controlled configuration, coordinating the agent-backend interface with senior and staff engineers.

First and sole platform engineer at FortressIQ. Built Neo from scratch in 3 weeks, replacing an offshore prototype — every foundational architecture decision the product ran on — through a $30M Series B at >$100M valuation and acquisition by Automation Anywhere — was mine.

Self-initiated a full pipeline replacement after 11 months of production operation revealed reliability limitations in the third-party forwarding layer. Designed and built a native C# forwarding client with retry policies, UUID-based worker identity, and concurrent queue with backpressure — the largest changeset in the repository's history.

Defined the data contract between the agent and backend: emitted fields, validation rules, aggregation semantics, and tenant identity enforcement — an interface that remained stable through 2025.

Designed portable-mode and config-as-valve architecture so binary, configuration, and logs traveled together as one self-explaining artifact — a deployment pattern still in production six years later.