Lead Software Engineer — Ultra Pro International
Mar 2023 — PresentLead Software Engineer (2026 – Present) · ERP Application Developer (2023 – 2026) · collectibles & gaming accessories · Los Angeles
Lead a team of five on an ERP platform processing $255M in revenue over the past 12 months and up to 190k wholesale and direct-to-consumer orders a year across Shopify, Amazon, Walmart, Target, Kroger, and GameStop.
- Own technical direction and delivery for the team. Set project scope, delegate ownership, and sign off on all code review. Onboarded six engineers onto the platform, provide input on hiring decisions, and coach the team on getting real leverage out of LLM tooling. Run the monthly architecture review. Write a recurring engineering newsletter to executives and stakeholders that turns platform work into decisions leadership can act on.
- Shipped AI-generated financial reporting in partnership with Finance, replacing hand-keyed Excel workflows and moving a non-engineering team onto an AI-native process. Two analysts previously dedicated full-time to reporting now log under 35 hours a month each in the ERP. Planned hiring of additional analysts was shelved, and the standing temp agency contract for three to five data entry analysts was not renewed. Routed to smaller models where the workload allowed, holding per-report cost to a fraction of the naive approach.
- Built the internal AI platform the rest of the team builds on. MCP tooling connects Jira to
Claude / Bedrockfor automated ticket triage, deployed to helpdesk and DevOps users, alongside model access and routing with per-task cost attribution. Drove Claude Code and Cursor adoption across the engineering team, and built the enablement layer behind every major rollout, including live training environments used by 280+ staff. - Put LLMs into the reliability practice. An automated health check on
Lambda,EventBridge, andBedrockreads platform telemetry every morning and writes up what changed. It catches degradations we'd otherwise meet as incidents. - Architecting an agentic assistant layer over the ERP so stakeholders can query orders, inventory, and financials in plain language. The work is tool orchestration, permission-aware guardrails, capability boundaries, and evals. Most AI projects bolt onto a frontier API and let the model do the heavy lifting. I'm betting the other way and building the harness, so open-weight models like Kimi and GLM can carry the workload at a fraction of frontier-API cost.
- Selected to lead a multi-year, company-wide cost-accounting transformation after prior attempts stalled. One costing standard, with manufacturing, warehousing, finance, and accounting all at the table. Took it to a first executive demo and a greenlit rollout plan.
- Zero re-platforming while the business more than doubled, from 131k orders / $123M (2023) to 190k orders / $218M (2025), into record back-to-back quarters and a ~$275M pace in 2026, all on the same stack.
- Own production reliability and incident response on a 6 TB database. Eliminated 25-minute report timeouts, broke a chronic deadlock cycle, root-caused a silent 23-day deploy failure.
- Built the company's retail EDI platform, ingesting purchase orders directly from Walmart, Kroger, and GameStop, replacing a per-transaction third-party middleman at mid-six-figure annual savings. Own marketplace integrations end to end. Recovered an 8-month Amazon outage, backfilled nearly a year of settlement data, and restored automated nightly reconciliation, unblocking ~$500k/month in revenue.
- Drove cloud security and infrastructure hardening toward
PCI-DSS 4.0/SOC 2: dual-AZ VPC re-architecture with WAF and SSM-only access, Terraform-managed production changes, enterprise SSO on Microsoft Entra, and a six-environment test fleet restored on demand from production snapshots.