Overview
Built an end-to-end event-driven automation platform replacing manual, error-prone testing with intelligent hardware-in-the-loop (HIL) validation. Led engineering team responsible for end-to-end architecture design, framework development, CI/CD integration, cross-team coordination, and mentoring of contributing engineers.
The platform autonomously validates firmware updates, cloud configuration changes, and UI behavior across distributed industrial controllers. Served as primary client liaison, delivering regular demos and technical presentations to stakeholders.
Enables unattended, repeatable validation at scale by listening for real-world triggers, dynamically provisioning test environments, executing PyTest suites against live controllers, and collecting centralized results.
Core Capabilities
- ▸Event-driven test orchestration triggered by firmware or configuration changes
- ▸Automated environment provisioning and teardown using Docker and CI/CD
- ▸Hardware-in-the-loop validation against real controllers and peripherals
- ▸Comprehensive validation of firmware, device settings, UI state, and cloud synchronization
- ▸Centralized test result aggregation and reporting via cloud storage
- ▸Parallel execution across multiple test benches for BVT and UAT phases
Impact
- ▸Enabled fully unattended validation of firmware and cloud updates without manual intervention
- ▸Significantly reduced manual testing effort and setup time, freeing engineers for higher-value work
- ▸Improved reliability and confidence in production releases through comprehensive automated validation
Architecture & Technologies
Core Technologies
- • Python with PyTest framework
- • Docker containerization
- • REST APIs and message brokers
- • Azure Blob Storage
- • CI/CD automation pipelines
- • Event-driven orchestration
Key Features
- • Event-driven test triggering
- • Dynamic environment provisioning
- • Hardware-in-the-loop integration
- • Parallel test execution
- • Centralized result aggregation
- • Structured logging & tracking
Challenges & Solutions
Challenge: Inconsistent Hardware Configurations
Test benches had varying controller configurations, firmware versions, and peripheral setups, leading to flaky and inconsistent test results.
Solution:
Implemented configuration baselining with automated pre-flight validation checks to normalize hardware state before each test run, ensuring consistent conditions.
Challenge: State Drift Between Test Runs
Firmware and device state persisted between test runs, causing tests to fail or produce inconsistent results across multiple executions.
Solution:
Designed a stateless execution model with automatic device reset, state cleanup, and rollback mechanisms to ensure idempotent test behavior.
Challenge: Network & IT Constraints
Restricted ports, segmented networks, and IT security policies limited direct communication between test infrastructure and industrial controllers.
Solution:
Close collaboration with IT and development teams to architect compliant connectivity, establishing secure gateways and approved communication patterns.
Challenge: Flaky Hardware Signals
Real-world hardware exhibited timing-sensitive behaviors, intermittent sensor signals, and environmental variability causing test instability.
Solution:
Implemented intelligent retry logic, timeout management, signal filtering, and correlation IDs to track asynchronous events reliably across the system.