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Mero

Remote (Canada)

An IoT SaaS platform helping commercial cleaning companies monitor operations and improve performance. Leading software development across platform architecture, analytics, infrastructure, operational intelligence, and AI-powered product initiatives.

Lead Software Engineer

Jan 2025—Present

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I first met the founders of Mero during HARDWARE.co in Germany back in 2017, and we stayed connected over the years. After exiting my previous startups, I reached out to see if they were looking for someone with a founder background comfortable operating across engineering, infrastructure, product, and operations in a lean startup environment.

Platform Modernisation & Infrastructure

Led a major infrastructure modernization initiative focused on reducing vendor lock-in, simplifying operations, and improving platform reliability.

Key work included:

  • Migrating infrastructure from AWS/ECS to DigitalOcean/Kubernetes
  • Moving from StatsD and proprietary RUM tooling to OpenTelemetry instrumentation
  • Replacing Datadog and Mixpanel workflows with SigNoz and PostHog
  • Reorganizing Terraform infrastructure into reusable layered modules and safer deployment processes
  • Standardizing CI/CD workflows across microservices using reusable GitHub Actions composite actions maintained in an internal actions repository

Planned and executed the production migration with less than 2 hours of user-facing downtime, uninterrupted sensor traffic, and no sensor data loss — while reducing infrastructure costs by more than 50%.

  • Mero status page during infrastructure migration
  • Pull request for migration infrastructure to DigitalOcean
  • Layered terraform modules for infrastructure management

Real-Time IoT Processing & Operational Intelligence

Working on scaling and improving the reliability of Mero’s real-time IoT event processing systems across customer locations in North America.

Major areas included:

  • Improving device responsiveness and online/offline synchronization
  • Ingestion lag monitoring and scaling for high-throughput IoT pipelines
  • Kafka partitioning and worker scaling strategies while preserving ordered event processing guarantees
  • Beacon abandonment detection and “data watermarking” systems for downstream data reliability
  • Team-based task completion algorithms with frequency and minimum-gap constraints
  • SQL, backend, and large-scale event pipeline performance optimizations
  • Data backfills, integrity verification, and production incident response
  • Participating in pager-duty rotations and handling IoT traffic surges
  • List of dashboards for observability
  • List of alerts for observability

Core Analytics Platform

Built a metrics-based analytics platform for exploring operational data across buildings, teams, cleaners, floors, and locations.

Key contributions included:

  • Designing analytics data models and aggregation workflows
  • Building metrics exploration and segmentation capabilities
  • Optimizing PostgreSQL-based analytics architecture without introducing a dedicated OLAP system
  • Using lightweight metadata/tag tables and aggregation tables to avoid expensive joins on large datasets
  • Building cron-based computation and backfill workflows for recomputing analytics data
  • Scaling analytics workflows for enterprise customers operating across 20+ buildings
  • Core Analytics - Line Chart
  • Core Analytics - Heatmap
  • Core Analytics - Histogram

Analytics Studio

Built a self-serve analytics studio using Metabase’s embedding SDK, allowing customers to create custom dashboards and explore raw operational data independently.

Key areas included:

  • Embedded analytics workflows using the Metabase SDK
  • Tenant isolation and access control on shared infrastructure
  • Secure dashboard and query access across customer accounts
  • Customer-facing dashboard customization workflows
  • Analytics Studio - Home
  • Analytics Studio - Collection
  • Analytics Studio - Template Dashboard
  • Analytics Studio - Dashboard Drilldown
  • Analytics Studio - New Question Editor
  • Analytics Studio - Raw Table Data Visualization

Mero Score

Worked on a KPI-driven operational scoring system designed to measure cleaning performance across customer facilities.

This included:

  • Designing scoring logic and KPI computation workflows
  • Building reporting pipelines and operational recommendations
  • Surfacing trends and factors negatively affecting customer scores
  • Mero Score - Hero Section
  • Mero Score - Pillars Overview
  • Mero Score - Pillar (Scope-of-Work Compliance) Details
  • Mero Score - Pillar (Scope-of-Work Compliance) History

AI Features

Built AI-assisted customer workflows including operational summary reports and a conversational analytics MVP.

This included:

  • AI-generated weekly operational summary reports
  • Trend and anomaly detection summaries
  • Product usage insights and recommendations
  • An AI chat MVP for querying operational and analytics data
  • Structured responses, knowledge base integration, and custom widget-based interactions

The AI systems were implemented using the Vercel AI SDK.

  • AI Workflow - Weekly Email Report
  • Mero AI - Home
  • Mero AI - Metric prompt
  • Mero AI - Knowledge Base prompt
  • Mero AI - Quota Limit
  • Mero AI - Paywall

Billing, Imports & Product Access

Built and improved customer-facing onboarding, billing, and product access systems.

This included:

  • Stripe subscription and billing workflows
  • Auto-charge and invoice-based subscriptions
  • Billing-aware product access controls and paywall enforcement
  • Seat-based billing capabilities
  • Self-serve CSV import systems with validation, mapping, and spreadsheet editing workflows
  • Dynamic import flows based on roles and feature access
  • Billing - Outstanding Paywall
  • Billing - Subscription Done
  • Import - Upload CSV, Excel, etc.
  • Import - Map Columns
  • Import - Verify Data, displaying error message
  • Import - Correct data with options availale in the multi-select dropdown

All product screenshots, branding, and logos shown on this page belong to Mero Technologies and are shared with permission for portfolio and professional experience purposes.