Portfolio / 2026 Edition --:--:-- EST Atlanta · Miami

Nicholas Moffett

Nicholas Moffett

A senior at the University of Miami, building the AI workflows so humans can do the interesting work — not the manual data entry.

A little about me,
since you're here.

A senior at the University of Miami building at the intersection of AI, automation, and the businesses that need both.

My introduction to generative AI began at Eduply, where I worked as a prompt-engineering intern, designing tools for educators, including chatbots that were later adopted by Atlanta Public Schools and Georgia Tech. That experience showed me how much value exists in bridging the gap between raw AI capabilities and practical business tools.

The following summer at SK Commercial Realty, I sat in development meetings for major assets (including The Henry, a $500M mixed-use project in Atlanta) and I got a clear look at how CRE deals actually get done. During that same internship, the President of SK Investment Group asked me to find a faster way to generate stacking plans. He meant a better Excel template; I interpreted it as a Python script and a web application. That project became the seed for N&S Digital LLC, the software firm I co-founded to ship tools like StackingPlanner and Scholairly.

Today, as an Investment Intern at Goldenrod Companies, I build custom AI workflows and automation pipelines for internal use. It's the kind of work I want to keep doing: finding the manual bottleneck, building the automated system, and giving people their time back.

Selected experience.

Click any role to expand.

/01
Goldenrod Companies
Investment Intern, Real Estate Tech
Jan 2026 — Present

Developing AI-powered workflows that automate multifamily and commercial real estate analysis at scale.

  • Built automation pipelines using n8n, OpenAI, and Claude that transform raw tenancy schedules into structured Excel financial models.
  • Engineered prompt systems and scripts extracting submarket comps, property data, and lease info, reducing hours of manual analysis to minutes.
  • Integrated spreadsheet templates with AI workflows for streamlined internal data processing.
/02
N&S Digital LLC
Co-Founder
Apr 2025 — Present

Founded and built multiple SaaS products focused on AI automation and business efficiency.

  • Built StackingPlanner.com, automating commercial real estate stacking plans with interactive visual layouts and saved dashboards.
  • Created scholairly.com — an AI-powered EdTech platform that reached 147 student signups.
  • Owned the full product lifecycle: conception, development, launch, and user adoption.
/03
SK Commercial Realty
Commercial Real Estate Intern
Jul — Aug 2025

Got hands-on with CRE fundamentals and found opportunities to modernize the workflow.

  • Sat in development meetings for major assets including a $500M mixed-use project in Atlanta (The Henry).
  • Built a full-stack web app automating manual stacking plans, replacing Excel with interactive visualization.
  • Built comprehensive financial models evaluating cap rate, LTV, amortization, and leasing commissions.
/04
Eduply
Generative AI Prompt Engineer
May 2024 — May 2025

Designed and optimized generative AI tools for educational institutions.

  • Built AI chatbots adopted by Atlanta Public Schools and Georgia Tech for curriculum planning.
  • Created a video lesson planner tool generating tailored lesson plans for educators and administrators.
  • Optimized prompts for AI tools integrated into school systems, enhancing educator effectiveness.
/05
YMCA Camp High Harbour
Program Director — Watersports
Seasonal · 2021 — 2025

Ran the watersports program at a YMCA overnight camp: safety systems, equipment, and staff leadership all under one role.

  • Directed all watersports programming, safety procedures, and staff management for 200+ campers and 80+ staff.
  • Oversaw a waterfront facility with 7 speedboats and $1M+ in equipment, coordinating schedules and risk management protocols to keep operations safe site-wide.
  • Combined safety leadership with staff development, mentoring counselors and helping build the program's reputation as a top watersports experience.
  • Led watersports at a nationally recognized camp — Newsweek named Camp High Harbour one of America's Best Summer Camps in 2024.
/06
Acadomia & JC Academy Miami
Tutor
Aug 2024 — Dec 2025

What I've built.

Click any project to expand.

StackingPlanner

Visit ↗
The Problem

At SK Commercial Realty, I watched analysts rebuild the same stacking plan in Excel for every property. Hours of manual work for a static file nobody could share, update, or search without starting from scratch.

What I Built

The President of SK Investment Group asked for a better Excel template. I built a full-stack SaaS instead: it turns any tenancy schedule, messy or clean, into an interactive, color-coded building chart in seconds, with a natural-language AI assistant built in from day one.

Highlights
  • AI-powered Excel parser ingests messy, non-standard rent rolls — no fixed template required
  • Natural-language AI assistant reconfigures colors, labels, fonts, and per-block overrides on request, and can flag ROFR encumbrances and rights per suite
  • Shareable public plan links with live chart rendering, plus named version-history snapshots for any plan
  • Stripe-gated Pro tier unlocks logo upload, Modern/Bubbly chart styles, custom fonts, and PDF/PPTX export
  • Persistent Python chart worker — fast, cold-start-free rendering
Stack
Node.js React Python Claude AI Supabase Stripe EC2 Resend

scholairly

Visit ↗
The Problem

I kept watching students juggle a different app for every task: one for notes, one for flashcards, one for the syllabus PDF, one for the calendar. Nothing tied it together.

What I Built

So I built scholairly, one platform with AI tools built around how students actually study: class-specific chatbots, syllabus analysis, auto-generated flashcards and practice tests, a scheduling assistant, and a document Q&A tool for asking questions straight out of a PDF.

Highlights
  • Class-specific AI chatbots, syllabus analysis, and auto-generated flashcards and practice tests
  • 147 students and educators signed up over its run
  • Built and launched end-to-end — conception through user adoption
Stack
Generative AISaaS

StockStarter

GitHub ↗
The Problem

I wanted real performance tracking (TWR, IRR, tax-loss harvesting, income) and kept running into the same two bad options everyone does: pay a service that wants your account credentials, or do it by hand in a spreadsheet.

What I Built

A self-hosted web app that turns broker export files into real portfolio analytics. Upload an Excel or CSV and it resolves holdings, pulls live prices, and tracks performance, income, risk, and taxes, with an AI chat layer to ask about your portfolio in plain English. It runs on your own server behind a password gate, so no third party ever sees your holdings.

Highlights
  • Time-weighted return and dollar-weighted IRR computed from actual cash-flow history, not estimated
  • FIFO/HIFO tax-lot tracking with wash-sale risk flags and estimated tax savings
  • Built-in AI chat grounded in live holdings, prices, and transaction history
  • Self-hosted and open source, responsive on mobile, deployable via Docker or Railway, data never leaves your own server
Stack
Bun TanStack Start SQLite Tailwind Claude AI

AI Automation Suite

Internal Build
The Problem

Investment analysts at Goldenrod Companies were losing hours per deal to repeatable manual work: re-keying tenancy data into models, then hunting across scattered sources for market context before any real analysis could start.

What I Built

An internal AI toolkit that keeps growing as new bottlenecks come up: n8n pipelines that turn raw tenancy schedules into structured Excel financial models, and a market intelligence portal that pulls demographic, employer, and real estate data for any market into one AI-written brief.

Highlights
  • Automated extraction of submarket comps, property data, and lease terms — no manual data entry
  • Prompt system queries OpenAI and Claude for structured field extraction, feeding existing Excel templates directly
  • Market intelligence portal aggregates employer, demographic, and real estate data per market behind company login, with an AI-generated narrative brief
  • Reduced multi-hour manual analysis to minutes per asset
Stack
n8nOpenAIClaudeFastAPIExcel

Career Dashboard

Visit ↗
The Problem

Job searching means a spreadsheet for applications, a doc for cover letters, and no real signal on which postings are worth your time or how you actually stack up against them.

What I Built

A tracker-first job dashboard built around two AI features that earn their place: an in-depth fit score on any job you import, and a coach that actually knows your background. Multi-user with no accounts and no API key to bring — every visitor gets their own scoped data from a 3-step setup.

Highlights
  • Import a job from a URL, pasted text, or a screenshot: an AI pass extracts the structured fields, handles JS-rendered listings automatically
  • 5-category AI fit scorecard, gap analysis, tailored resume bullets, and a cover letter draft with tone/angle controls — auto-generated per job
  • Free Priorities strip ranks deadlines and stale follow-ups by urgency with zero AI calls; Coach overlay adds persistent-memory chat for everything else
  • Candidate Strength: rubric-scored readiness assessment, point values anchored via structured outputs so repeat scores don't drift
  • No accounts, no API key: a 3-step setup collects your background and drops you straight into the tracker
Stack
Next.js TypeScript Turso Groq Vercel

Life outside the laptop.

Hover to pause, drag to explore.

Nicholas with family

Family & friends

Nicholas at a wrestling tournament

Wrestling

Nicholas wakeboarding

UWake

Nicholas at Soares Jiu Jitsu

Brazilian Jiu Jitsu

Nicholas with friends at the beach in Miami

The Beach

An AR side project visualizing a water molecule

Side projects

05 — Contact

Have a project, a job, or just a good idea? Let's talk.