System / 005

Condo Bridge

Property management platform

Role

Full-Stack Engineering

Period

Nov 2021 – Jun 2022

Domains

Context

PROGSITS (Canada)

Primary Outcome

Reliable backend contributing to a platform with 98% customer retention.

Last updated 2026-08-11

01 / Context

Condo Bridge is a cloud-based property management company serving condo and strata communities across British Columbia and Alberta since 2018 — real-time financial data, a transparent resident portal, an integrated vendor network, and virtual meeting/voting capabilities, for buildings with 200+ members.

02 / Problem

Managing condo communities involves multiple stakeholders — unit owners, residents, boards, vendors, and managers — each with different access needs and workflows. The platform had to handle real-time financial data connected to bank accounts, a 24/7 resident portal, vendor coordination, and virtual meetings without breaking under operational complexity.

04 / Architecture

Hover or focus a node for its responsibility.

RESIDENT PORTAL     BOARD / ADMIN
        \               /
         v             v
          API SERVICE
              |
   +----------+----------+
   v                     v
FINANCIAL DATA        MYSQL

07 / Contribution

My Contribution

—Developed backend services supporting resident portal, board communications, and vendor coordination
—Built scalable APIs for managing properties, tenants, financial records, and operational tasks across BC and Alberta
—Implemented real-time financial data integration and automated accounting workflows
—Built virtual meeting and voting infrastructure for communities of 200+ members
—Focused on system reliability and long-term maintainability to support high customer retention

09 / Outcome

—98% customer retention rate
—Stable operations for communities of 200+ members across BC and Alberta

10 / Lessons

Multi-stakeholder systems are as much an access-control design problem as a features problem — getting the permission model right early avoided a lot of later rework.
Long-term retention in this kind of platform tracks reliability more than feature velocity — the highest-leverage work was often the least visible.

PostgreSQL Performance Tuning for Production Redis Caching Patterns for Production Applications Zero-Downtime Deployments in Kubernetes

Next system → Everyday Car Auctions