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QA Automation Engineer with 3+ years in Selenium, Python & Robot Framework
Automation Engineer with 3 years of experience in designing and implementing scalable automation frameworks for desktop, web, and mobile applications. Proven expertise in developing reusable Python libraries and automating complex scenarios such as image/video processing and network configuration. Skilled in Selenium with Python, Robot Framework, and Appium for cross-platform automation. Strong debugging and root cause analysis capabilities, ensuring faster issue resolution and on-time releases. Experienced in version control (Git), project management tools (Jira), and integrating automation into CI/CD workflows. Solid foundation in Embedded C, bare-metal programming, and Generative AI concepts for enhancing test strategies. Seeking to leverage automation and quality engineering skills to drive efficiency and innovation in a dynamic organization.
KLE Technological University, Hubballi
B.E · Electronics & Communication Engineering
N/A – June 30, 2022
Govt. Polytechnic for women, Hubballi
DIPLOMA · Electronics & Communication
N/A – June 30, 2019
Mahila Vidya Peeth, Girl's High school, Vidyanagar, Hubballi
SSLC
N/A – May 31, 2016
LnT Technology Services
Test Automation Engineer with Debugging Expertise
September 1, 2022 – January 31, 2026
India
Honeywell - MAXPRO VMS and MAXPRO NVR
December 1, 2024 – October 31, 2025
Developed automation solutions for desktop applications in a scalable IP video surveillance system supporting HD cameras, enabling efficient recording and video management. Spearheaded scripting and execution of 500+ test cases for MAXPRO NVR and VMS using TestComplete, Python, and VBScript, reducing test execution time by 60%. Worked in an Agile environment, actively participating in sprint planning, daily stand-ups, and retrospectives, accelerating timelines by 30% and optimizing resource allocation. Integrated AI-driven object recognition into automation workflows to enhance testing capabilities. Led 500+ regression and performance tests, ensuring 95% defect-free releases and maintaining consistent system stability. Performed advanced debugging and root cause analysis, enabling faster defect resolution and on-time releases. Automated image and video processing scenarios, improving test coverage and efficiency. Optimized Python and VBScript scripts, enhancing error handling and logging mechanisms, resulting in 30% reduction in script failures. Collaborated with development, QA, and business teams, generating weekly reports and tracking critical defects to ensure project milestones were consistently met.
Gateway Automation- TP link
June 1, 2024 – October 31, 2024
Automated Wi-Fi configuration on TP-Link Archer AX1500 (Wi-Fi 6, 802.11ax) and Archer MR200 (Wi-Fi 5, 802.11ac) routers by developing test scripts to control and configure router settings via web and mobile interfaces. Implemented web automation scripts for router WebUI using Selenium, reducing manual configuration time by 50% and ensuring efficient and reliable execution of test cases. Developed automated scripts using Robot Framework for acceptance testing, streamlining workflows and improving test coverage by 40%. Employed Appium for mobile application automation, covering Android/iOS interfaces for router configuration, cutting mobile testing time by 35%. Automated Wi-Fi settings including SSID, password, and security configurations, NAT setting, DHCP, reducing manual effort and improving accuracy by 45%. Collaborated in bug identification and resolution, enhancing system stability and accelerating release cycles by 20%. Worked in an Agile environment, actively participating in sprint planning, daily stand-ups, and retrospectives, improving delivery timelines by 25%.
Cultural Fit Analysis
The candidate's experience across different types of automation (desktop, web, mobile, network, image/video processing) and their involvement in Agile methodologies suggest adaptability and a willingness to engage with diverse technical challenges. Their proactive approach to improving test coverage and efficiency, along with their debugging expertise, indicates a problem-solving mindset. The mention of AI-driven object recognition shows an interest in leveraging advanced technologies, which aligns with an innovative culture. The candidate's background in Electronics & Communication Engineering provides a solid foundation for understanding complex systems, which is beneficial for a QA Automation Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working effectively with development, QA, and business teams. Their active participation in Agile ceremonies indicates a proactive and team-oriented approach. The ability to generate weekly reports and track critical defects highlights good communication and organizational skills within a project context. The candidate's focus on optimizing scripts and improving efficiency aligns well with operational excellence.