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Embedded Software Test Engineer with 3+ years in Embedded Application Testing & Python
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Manual Testing Engineer with 3.8 years of hands-on experience in Embedded Application Testing, Hardware-Software Integration Testing, and end-to-end test execution at Microchip Technology. Strong proficiency in Python (Pytest, OOP-based frameworks, 200+ automated test cases) with Basic C / C++ knowledge for reading firmware code and designing precise test cases. Experienced in User Interface Testing (HMI & Web) and Web Application & Portal Testing (Manual). Good knowledge of CAN bus protocol concepts. Proven results: 95%+ test coverage per release, 100% RTM coverage, 30% regression cycle reduction. Skilled in JIRA / Confluence defect lifecycle, Test Plan / DFMEA / DVP&R, and Agile/Scrum global team delivery.
M.V.R College of Engineering, JNTU Kakinada
B.Tech · Electronics & Communication Engineering
N/A – June 30, 2021
Microchip Technology (India) Pvt. Ltd.
Manual Testing & Embedded Application Test Engineer — Python | Embedded & IoT Protocol V&V
November 1, 2021 – August 1, 2025
Chennai, Tamil Nadu, India
Smart Home Automation — IoT Zigbee Protocol Validation & Embedded Firmware Testing
November 1, 2021 – August 1, 2025
Built a Test Automation Framework using Python + Pytest to automate E2E regression: network formation, device pairing, routing, and OTA firmware updates on embedded devices. Validated JSON/XML protocol message structure and data integrity against firmware specification. Managed complete Defect Life Cycle for 15+ protocol non-conformances — logged in JIRA, tracked to resolution with firmware team. Maintained full RTM ensuring 100% traceability of test cases to requirements.
Wireless Large Mesh Network — LwMesh (Solar / Industrial IoT) Embedded Validation
November 1, 2021 – August 1, 2025
Automated UART (RS-232) log parsing and RSSI/LQI/TX Power signal metric analysis for large-scale wireless mesh IoT network nodes using Python scripts. Maintained Regression Suite for node joining, rejoining, routing failure, and recovery under varied network stress conditions — directly analogous to CAN bus network stress testing. Tracked all failures through complete Defect Life Cycle in JIRA — reduced network instability issues by 25% pre-shipment. Used SQL queries to store and retrieve test results for multi-run trend analysis.
Python Programming Certification
DDU-GKY (Government of India)
June 1, 2026 – Present
AI Tools Workshop Certification
be10x
June 1, 2026 – Present
Playwright with Python — Browser & API Automation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across diverse IoT projects (Smart Home Automation, Wireless Mesh Networks) and exposure to various testing types (functional, regression, integration, E2E, hardware-software) indicates adaptability and a broad technical interest. Their proactive approach to upskilling (Python, AI Tools, Playwright) suggests a growth mindset. The detailed project descriptions and professional experience align well with a collaborative, quality-focused engineering culture.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through active participation in Agile/Scrum methodologies, detailed test planning, risk assessment, and comprehensive defect management. Their experience in preparing test summary reports and stakeholder communication indicates good professional practices. The ability to reduce regression cycle time and improve defect detection accuracy highlights a results-oriented approach.