Marine ESS BMS QA & Test Automation Platform

Overview

I built a QA and firmware validation framework for a multi-device marine Battery Management System (BMS). The platform supports Modbus/MQTT communication testing, automated regression, telemetry logging, and failure pattern analysis.

My Role

• QA architecture design
• Regression automation development
• Telemetry ingestion + database modeling
• Root cause investigation for system-level failures

Problem

Testing distributed firmware across multiple devices was manual, inconsistent, and difficult to reproduce — especially under rare operating conditions.

Approach

Firmware → Modbus/MQTT → Python Harness →

InfluxDB → Dashboards/ML → Reporting

Features

• Automated firmware regression testing
• Polling + change-detection mechanisms
• Long-term telemetry archiving for fault patterns
• Integration with field deployments and remote diagnostics

Impact

• Reduced regression time by ~70%
• Improved observability of rare events
• Enabled repeatable test scenarios tied to real-world field logs

Tools

Reflection

This project pushed my thinking from research precision toward systems reliability at scale, where reproducibility and traceability matter more than raw output.