Entrepreneur
2012-Present
Running an agency taught me to design intake pipelines, vendor handoffs, claims workflows, and resilient systems under real business pressure.
// AI Collaborative Software Engineer
I build websites, booking systems, automations — and on one unsupervised Friday, a 3D dinosaur game.
★★★★★ Founder & Developer of GrumpyBot
// hover at your own risk
Hover if you'd like it to be mutual.
Click anywhere, then hover to hear the butterfly flutter.
Building accessible, modern interfaces with HTML, CSS, and JavaScript wired to robust API-driven backends.
Integrating large language models into professional workflows to build intelligent, decision-supporting tools.
Deploying scalable services with cloud-native architecture and automated CI/CD pipelines.
Designing API-driven data flows and managing real-time synchronization across distributed systems.
Foundational work in data structures, automation scripting, and computational thinking for AI workflows.
(ISC)² Certified in Cybersecurity (CC) — applying security-first thinking to every system I build.
Building dynamic mapping interfaces with custom 3D globe visualizations and logic-driven markers.
Connecting third-party tools and APIs to streamline operations through low-code automation platforms.
Federal behavior-detection training does not come with an off switch. At the farmers market I know which vendor runs out of tomatoes first. In line at the bank I've solved a crime that hasn't happened yet. This was becoming a problem — so I aimed it at software, the one industry where noticing everything is billable. Now I catch the workflow that fails silently, the dashboard that's green and lying, the "quick task" that eats your Tuesday. Your Tuesday called. It wants a robot.
2012-Present
Running an agency taught me to design intake pipelines, vendor handoffs, claims workflows, and resilient systems under real business pressure.
DHS
DHS work shaped how I think about anomaly detection, threat modeling, precision, and decisions made from imperfect real-time signals.
Next Chapter
The apprenticeship gives my systems background modern syntax: full-stack development, AI integration, cloud infrastructure, and workflow automation.
Websites, bookings, and automations that run your small business while you do the actual work.
Embedded chatbots, RAG assistants, AI-powered workflows, and custom tools that answer from your content and support real operations.
Contact form submissions, ad platform leads, routing logic, notifications, and data capture that keeps every inquiry traceable.
Cal.com booking pages, calendar booking flows, intake questions, confirmations, and handoffs to the tools your business already uses.
Focused pages for launches, services, portfolios, and local businesses with responsive layouts and clear conversion paths.
Zapier and workflow automation that connects forms, bookings, emails, spreadsheets, databases, and follow-up actions.
Mobile-first PWAs, React Native builds, dashboards, portals, and internal systems that turn repeated tasks into usable software.
Static directories, resource lists, service catalogs, documentation hubs, and organized public information built for speed and clarity.
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From real users & clients
“AnglerCast is very accurate on fish historical sightings. As a fisherman who fishes weekly, I rely on it for practical insight before heading out. I asked Jacqueline to add another feature, and she was happy to make new improvements.”
“The ease of use and how it addresses elements that I didn't think about until I used the app that Jacqueline created for me and my family. It is not overly complicated, and people can put it to use just by following the very intuitive interface.”
“I had the opportunity to test Jacqueline's AnglerCast application and was genuinely impressed. The application was easy to navigate, thoughtfully designed, and showed a strong understanding of AI integration, real-world data, and user experience. It's clear she builds practical software with attention to detail, and I look forward to seeing what she creates next.”

A mobile-first PWA for families and small teams who want to capture the recipes, songs, stories, and culture rituals that vanish when the people who hold them are gone.
Story Pot records audio and video directly in the browser, transcribes speech in 67 languages via the Web Speech API, and stores everything locally on your device with no account, no server, and no cloud. A two-mode Family / Team toggle switches the archive between parallel namespaces, so the same app can preserve a grandmother's recipes or a small team's culture rituals.
What I learned: How to architect a production PWA from five closure-based factory functions with two-tier storage, keeping lightweight metadata in localStorage and heavy media blobs in IndexedDB so the UI renders instantly while megabyte-sized recordings load only when needed.
Live link
A relaxed 3D browser game built on a Vibe Demo Friday, for anyone curious whether I can build outside standard full-stack CRUD work.
Players drag cartoon dinosaurs around a 3D world and try to catch falling geometric shapes in their baskets. The competition is in who scores highest on the leaderboard. Scores save to a persistent SQLite leaderboard through a real Express backend, demonstrating a complete full-stack round-trip from React state to a typed API and back.
What I learned: How to combine declarative React rendering with Three.js's imperative 60fps animation loop using useRef for per-frame data and useState only for things that need to trigger re-renders.
Live link
A no-code SaaS platform for students, new coders, and new entrepreneurs who want a real working AI chatbot for a portfolio, landing page, or first client before they have learned how to build one from scratch. I built GrumpyBot so beginners can ship a real working AI chatbot on their portfolio or landing page while they're still learning HTML, CSS, and iframe embedding. The skill they exercise is the embedding work — the bot itself just works.
Users upload .md, .txt, or .json documents and get back a working bot that answers only from the uploaded content. Behind the embed, I made sure that if the answer is not in the documents, the bot says it does not know.
What I learned: How to build a grounded RAG pipeline from scratch and enforce document-only answers at the architecture level.
Live link// how i got here
// the path that got me here
// Hum LLC gives back
Hum LLC gives back by building tools that help people make better decisions with honest, practical data. AnglerCast is one example: a fishing app created for the angler community that turns reliable public records into clear seasonal insight.
Join AnglerCastFeatured app
Shows where fish have been recorded by season using real public occurrence data, sample sizes, confidence signals, and plain-language AI explanations that explain the numbers without inventing them.
I coded the RAG system behind GrumpyBot, then turned it into a no-code iframe embed so new coders can add a grounded chatbot to their own site. This demo answers from a mock dog walking business's very funny handbook.
Ask about clown day. Then ask about the stock market.
Or just tell me what's broken. I like broken things.
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Hum LLC