Strategy & Operations · AI-Native Builder

Joshua Zimdars

Business Systems Specialist & EA to the CEO/CFO · Golden Limousine International · Ann Arbor, MI

I turn ambiguous business problems into shipped systems. Over 18 months I rebuilt a 35-year-old company's entire S&O stack — pricing, sales ops, dispatch, customer experience, and executive reporting — self-taught, using AI as my primary building tool.

2,800+ hours saved/year
10× faster sales response
100+ markets covered
5K+ monthly PWA riders
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Case Studies

Five systems. All in production.

Full design narrative, metrics, and what I'd do differently — in the GitHub repo.

In Active Development
Quote Calculator
AI-assisted pricing & dispatch platform. Parses customer emails with Kimi K2, prices any trip across 14 trip types × 14 vehicle classes, books to dispatch.
20–34 min → under 3 1,800+ hrs/yr saved
Read case study →
Phase 1 Live
Pricing API (.NET 8)
Re-platformed the rate card from Excel onto a versioned .NET 8 / EF Core / Azure SQL API. 9 controllers, 22 entities, 10-phase product roadmap.
Powers all future surfaces
Read case study →
Production
Shuttle Tracking PWA
Real-time vehicle map for 5,000+ monthly U-M Hospital riders. No login, no install. Samsara telemetry → Azure Functions proxy → Leaflet.js.
−40% status calls 1,095 hrs/yr freed
Read case study →
Production
Detailer System
React 19 + Socket.io real-time QA workflow for the garage floor. 14-point checklist, manager review queue, live dispatch visibility. Tablet-first PWA.
Real-time vehicle readiness
Read case study →
Live
Driver Recruitment Site
Attribution stack built for the recruiting team in a day. UTM/GA4 instrumentation across Indeed, ZipRecruiter, LinkedIn, and Facebook. charterbusdrivers.com.
Cost-per-applicant by channel
Read case study →

Experience

How I got here

Started as an EA. Ended up running S&O.

Nov 2024 – Present
Business Systems Specialist & EA to the CEO/CFO
Golden Limousine International · Ann Arbor, MI
Joined as EA. Found a 35-year-old company still pricing out of Excel across 100+ markets. Rebuilt the entire strategy & operations stack: unified pricing model, AI-assisted quoting platform, pricing API, real-time fleet tracking, detailing QA system, executive reporting cadence, and cross-functional governance framework.
May – Aug 2022
Research Assistant
University of Michigan, Institute for Social Research · Ann Arbor, MI
Synthesized international health-policy datasets into briefings for senior researchers. Produced quantitative and qualitative analyses presented at academic forums.
2021 – 2024
Server (top-of-floor)
Barton Hills Country Club & Palio Restaurant · Ann Arbor, MI
Consultative sales performer in high-touch hospitality. Built repeat clientele. Learned that the customer relationship is the product.
May 2024
B.A., Sociology of Health and Medicine
University of Michigan · Ann Arbor, MI · Michigan Club Lacrosse (2 yrs)

Skills

What I work with

Self-taught, AI-accelerated, production-focused.

Strategy & Ops
Pricing strategy Unit economics Process design Change management Product roadmapping Exec communication
AI & Agent Tooling
Kimi K2 GPT-4 Claude GitHub Copilot Azure AI Inference Agentic workflows LLM evaluation
Engineering
C# / .NET 8 JavaScript / Node React 19 Python SQL Socket.io REST APIs PowerShell
Azure
Azure SQL Azure Functions Static Web Apps Azure Maps AI Inference Cosmos DB
Analytics
GA4 UTM attribution pandas Excel modeling A/B testing

Let's talk

Looking for Strategy & Operations roles where the work touches both the data and the customer. Based in Ann Arbor, MI.