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Annie

Hello, I'm Annie

Forward Deployed Engineer & AI-Native Consultant

M.S., Georgia Tech — 4.0 GPAPalantir Foundry Certified Application Developer

I'm an AI-native forward-deployed engineer with a Master's degree from Georgia Tech. I've embedded inside businesses across supply chain, finance, and healthcare — modernizing how they actually work with AI built around their real workflows, not bolted on top of them. Every engagement is judged the same way: time recovered, workflows that run themselves, and profit that shows up on the books.

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Selected builds.

Representative examples of the kind of systems I build — illustrative composites based on the patterns I deploy most often, not client-identifying case studies.

01

The Autonomous Invoice & Financial Reconciliation Engine

The Problem

SMBs spend hours every month manually downloading invoices, matching them against bank lines, and categorizing expenses inside QuickBooks or Xero.

The Solution

A structured pipeline pulls attachments from a dedicated invoices inbox, extracts vendor, line items, tax, and totals via an OCR/vision-capable model, and logs everything directly into the client's accounting software.

The Result

Cut monthly bookkeeping admin hours by 80% and eliminated manual data-entry errors.

02

Hyper-Personalized Lead Response & Outreach

The Problem

Inbound leads go cold waiting hours for a reply, while outbound reps burn half their day researching prospects before a single cold email goes out.

The Solution

Inbound leads are enriched, scored against the ideal customer profile, logged to the CRM, and a personalized reply is drafted for human review within minutes. Outbound targets get research-backed intro lines pulled from their recent activity.

The Result

Doubled the meeting-booked rate by cutting response time to under 3 minutes with fully researched messaging.

03

Multi-Channel Content Repurposing Engine

The Problem

Businesses know they need a content presence but don't have time to turn one podcast or webinar into a month of social content.

The Solution

One raw recording dropped into a folder triggers transcription, a brand-voice-matched rewrite, and delivery of a blog post, five LinkedIn posts, a newsletter draft, and short-form video hooks — automatically.

The Result

Turns 1 hour of raw content into a 30-day cross-platform campaign, saving $2,000+/month versus an agency retainer.

04

Automated SEO & GEO Content Pipeline

The Problem

SMBs want organic traffic but can't afford an SEO agency — and now need to rank inside AI search engines like Perplexity, Gemini, and ChatGPT, not just Google.

The Solution

A pipeline monitors competitor rankings, finds high-intent content gaps, and drafts authoritative, search-intent-matched articles delivered straight to the client's CMS as ready-to-review drafts.

The Result

A self-sustaining content engine that gets the brand cited by AI search engines and ranked on Google, for a fraction of an agency's cost.

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