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Enzo
Lucchesi

Principal Software Engineer at SharkNinja. I build commerce, enterprise AI, and data systems, and the integrations that connect them.

Eight years across systems architecture, automation, and production AI, in manufacturing, automotive services, and global consumer commerce. I also maintain open-source tools for coding agents.

Systems I've built

Production work across enterprise AI, data platforms, and customer-facing products. Most were team efforts; each case study describes my part.

Bert intake agent

Enterprise AI · SharkNinja

A Flue agent that interviews colleagues in Slack, Teams, or the web, gathers evidence, and turns bug reports and feature requests into reviewed Jira work.

  1. Slack, Teams, or web
  2. Flue agent interview
  3. Evidence and assessment
  4. Human review
  5. Jira or IT Service Desk
  • Infers whether a request is a bug or an enhancement, reads the requestor's directory profile, and asks multiple-choice questions only for requirements that are still missing.
  • Gathers bounded evidence from scoped GitHub repositories, Jira, first-party documentation, Cloudflare traffic data, and opt-in recorded browser reproductions.
  • Runs a mandatory developer assessment as a durable Cloudflare Workflow, citing repository integration points by file and line.

Built with Flue, TypeScript, React, Hono, Cloudflare Workers, Durable Objects

Read the case study

Consumer intelligence app

Data products · SharkNinja

A web app that brings ratings, sales velocity, and market-share signals together for upcoming product launches.

Internal app platform

Platform engineering · SharkNinja

A standard way to ship internal and AI-built apps on Cloudflare, with single sign-on and a security baseline from day one.

Enterprise AI gateway

AI infrastructure · SharkNinja

A governed gateway that gives teams single sign-on access to multiple model providers, with budgets, routing, and failover.

Village client portal

Web and iOS · Village Handcrafted Cabinetry

A shared web and iOS workspace for clients, designers, and engineering teams on custom cabinetry projects.

Eight years of systems work

Systems architecture and automation first, then infrastructure, customer-facing products, and production AI.

  1. 2026–now

    SharkNinja

    Principal Software Engineer

    Built the Bert intake agent, co-built the enterprise LLM gateway, and own the hosting standard for internal AI apps. Technical lead on a consumer-insights program. I also interview engineering candidates and supervise interns.

  2. 2025–2026

    Village Handcrafted Cabinetry

    Senior AI Engineer

    Connected ERP, CRM, and manufacturing workflows, and developed customer-facing web and iOS applications.

  3. 2025

    NeuralSeek

    AI Agent Builder

    Built multi-agent retrieval over enterprise documentation, with guardrail and quality-assurance loops.

  4. 2023–2025

    Mazza Iron & Steel

    Infrastructure & Automation Engineer

    Automated IT operations across three facilities and wrote an incident-response playbook.

  5. 2018–2023

    Cox Automotive

    Systems Architect & Automation Lead

    Designed event-driven workflow orchestration for a vehicle-repair division. Led billing automation and an end-to-end platform and data migration.

Leadership and enablement

Alongside shipping systems, I help the team hire, grow, and build with AI safely.

Hiring
Interview intern, co-op, and engineering candidates for applied AI and DTC engineering roles.
Interns and co-ops
Supervise interns and a data-science co-op, scope their projects, and run midpoint reviews.
Engineering standards
Wrote the hosting and security baseline, go-live guardrails for AI-built apps, and the team's agentic coding charter.
Enablement
Lead sessions on agentic developer tools and maintain the setup guides for the AI gateway.
AI platform administration
Own the company's Claude Enterprise organization and co-administer the engineering Slack workspace.

Tools for coding agents

Extensions for pi and Oh My Pi, plus fixes merged into developer tools and AI frameworks.

pi-ask-user

Decision gates for AI agents. Pauses execution and asks the human, with multiple-choice or freeform answers, before doing anything irreversible.

Published with npm trusted publishing and SLSA provenance.

GitHub stars
176
npm downloads a month
11.8k

pi-extension-e2b

TypeScript

Redirects all pi tool execution to a remote E2B cloud sandbox.

amp-acp

JavaScript

Bridges the Amp CLI to the Agent Client Protocol so it works inside Zed and other ACP editors.

Merged upstream

Fixes and features in developer tools and AI frameworks, from file-access protections to Unicode handling.

515 contributions in the last year

github.com/edlsh
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Email is the best way to reach me.