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QA Automation Engineer with 2+ years in QA Automation & IoT Testing
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Dipali Hulawale is an Associate Software Engineer with 2.5 years of experience in building automation frameworks for IoT and Cellular device testing. She is proficient in Python, Robot Framework, Selenium, and various testing tools. Her expertise includes validating device connectivity, commissioning, OTA flows, and implementing CI/CD workflows, contributing to improved test scalability and reliability.
Pune University
Bachelor of Computer Engineering
January 1, 2019 – January 1, 2023
Capgemini Technology Pvt Ltd.
Associate Software Engineer II
December 1, 2023 – Present
India
Google Nest Smart Home (Matter) Automation
December 1, 2023 – June 1, 2026
Developed automated test suites (Python, Mobly, Gazoo NDM, GHP snippets) for verifying device connectivity, Matter cluster interactions, and accessory-hub interoperability. Enhanced the framework with utilities for functional, regression, and stress testing of Matter devices. Implemented CI/CD workflows for device provisioning, firmware flashing, and cloud-state verification (Google Home Graph) to streamline release validation. Analyzed test flakiness, timeout issues, and device instability, logging and tracking defects using Buganizer to improve overall test reliability.
Cellular OTA Automation
December 1, 2023 – June 1, 2026
Developed a modular, Robot Framework based test automation framework enabling end-to-end validation of mobile functions and network behaviors. Automated Android device interactions via ADB commands to simulate user actions (tapping UI elements, toggling network modes) and trigger network events in test cases. Integrated MQTT driven cloud triggers and a dashboard for remote scheduling and monitoring, improving scalability by 40%. Embedded reporting Allure and issue tracking using JIRA to automate result reporting and continuous feedback.
NVIDIA AI for All: From Basics to GenAI Practice
NVIDIA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with diverse client domains (Google Nest/IoT, Cellular/Telecommunication) and a range of technologies suggests adaptability and a broad technical interest. The recognition awards (Client Appreciation, WOW Award) indicate a commitment to excellence and positive impact within a team. The NVIDIA AI certification shows a proactive approach to learning and staying current with emerging technologies, which aligns with a culture of continuous improvement.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration in Agile teams and a focus on improving test scalability and reducing manual intervention, indicating a proactive and team-oriented approach. The ability to analyze test flakiness and track defects suggests strong problem-solving and attention to detail. The integration of reporting and issue tracking tools demonstrates an understanding of operational efficiency.