Architecting the Future

Jordan Gopie

Full-Stack Developer

I build software that makes work easier. Lately that's meant modern web apps, cloud services, and automation that runs reliably at scale.

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About Me

I like building software that removes friction. Most of my recent work has been turning messy, manual workflows into systems that run reliably in the background.

That usually means full-stack web apps, cloud services, automation, and data pipelines. I have built browser-driven systems that log in, navigate complex sites, download and validate files, and push results into the tools teams use every day. I have also worked on AI-powered training experiences and messaging-based intake flows where consistency and edge cases matter.

  • Automation and data workflows that reduce manual steps.
  • Reliable web apps and APIs built for scale and clarity.
  • Polished cross-platform UIs when the product needs them.

I started programming years ago with Pascal, then C and C++. Over time I moved into Python, JavaScript, and TypeScript. These days I use Dart and Flutter when a project needs a polished cross-platform UI, but I am most comfortable owning the whole product from interface to backend to deployment.

I am always learning, and I care a lot about clean code, testing, and software that holds up in production.

Projects

A quick look at the systems and products I have built. Confidential details are omitted to respect privacy agreements with my employer.

MLS Broker Portal (Deal Claim & Creation Workflow)

Built a broker-facing portal that lets authenticated agents browse MLS inventory, exclusively claim listings, and create or reuse CRM deals with guardrails to prevent double-claims and duplicates.

Role
Full-stack developer (backend + frontend)
Stack
React, TypeScript, Vite, Python, Flask, Firebase Auth, Firestore, Cloud Run, Cloud Tasks, Google Cloud Storage, CRM API, MLS data API
Timeframe
2025-2026
Outcome
Delivered an internal portal with atomic claim+deal creation, conflict handling (e.g., already-claimed), and scalable list/detail browsing with cached images and async background processing.
  • Full-stack
  • Real estate
  • GCP

Permit & Property Data Verification Pipeline

Built a multi-source scraping and verification system that collects property details and checks permit records to identify roof-related activity, with production scheduling and reliability hardening. Added automated tests (including live/integration coverage) to prevent regressions as new jurisdictions and workflows were introduced.

Role
Lead engineer (solo)
Stack
Python, TypeScript, FastAPI, Playwright-based browser automation, PostgreSQL + ORM, Docker
Timeframe
Jan 2026 - Present
Outcome
Deployed an automated pipeline with scheduled scraping/verification runs, expanded jurisdiction support, and increased test coverage (including live runs) to reduce breakage during ongoing development.
  • Web scraping
  • Test automation
  • Data pipeline

AI-Powered Real-Estate Acquisitions Training Curriculum

Designed a structured, multi-module training curriculum for an acquisitions team, spanning rapport-building with distressed sellers, underwriting/comping, negotiation, closing, and disposition handoff. Packaged the material to support consistent execution and AI roleplay based practice.

Role
Lead curriculum designer and roleplay/prompt architect
Stack
ChatGPT, Second Nature (AI roleplay platform), Google Docs/Microsoft Word, PDF/DOCX production workflow
Timeframe
Dec 2025 - Jan 2026
Outcome
Delivered a submission-ready curriculum set (DTS Categories 3-9) with SOP-style checklists, scripts, and playbooks to standardize acquisitions execution and handoffs.
  • Sales enablement
  • Instructional design
  • AI roleplay

WhatsApp-First AI Intake and Triage Automation (Legal Intake MVP)

Built an opt-in WhatsApp intake assistant that collects immigration pre-screening answers conversationally, applies rules-based triage, and packages each lead for staff review with reliable handoff and human takeover.

Role
Lead developer and technical owner (end-to-end build)
Stack
Next.js, TypeScript, PostgreSQL, Prisma, WhatsApp Cloud API, OpenAI API, OAuth 2.0
Timeframe
Jan 2026 - Feb 2026
Outcome
Delivered an MVP that handles multiple concurrent chats, persists full transcripts, interprets multi-message bursts as a single conversational context, computes Good Fit/Maybe/No-Go recommendations with auditable reasons, notifies staff for escalations, and syncs qualified leads into a case-management system with an attached intake summary.
  • WhatsApp Automation
  • LegalTech
  • AI Workflow