Manojkumar Vasudevan — Software Engineer

With over 7 years of experience in wireless enterprise QA, I have honed my skills in automating and testing some of the most complex network devices and systems. My expertise covers a wide array of domains, including framework development, UI automation, interoperability testing across various mobile operating systems (iOS, Android, macOS), and KPI measurement. I am adept at report generation and have built dynamic metric dashboards to provide real-time insights into performance and quality. Throughout my career, I’ve focused on automating both manual and complex processes, ensuring seamless functionality across platforms. This includes working extensively with 802.11 network standards, Wi-Fi 6/7 feature validation, and leading automation initiatives for products like Apple TV, Roku TV, Fire TV, and OTT platforms such as AT&T’s DirectTV Now. As a Senior Software Engineer, I led the development of interop device automation, creating solutions for iOS, Android, and macOS using tools such as Appium, ADB, and native macOS tools like Airtool for OTA analysis. I also excel in scripting with Python and using frameworks like pyATS for feature testing, ensuring quality by enabling automated sanity tests. One of my proudest achievements is winning the Cisco Hackathon 2022, where I developed an innovative tool named "Click n Done." This tool consolidates independent automation scripts into a unified system, making testing processes more efficient by handling them from a single interface and generating comprehensive reports. Currently, I am deeply involved in the integration of AI into QA processes, with the goal of streamlining workflows and boosting productivity. My focus lies in enabling AI-driven automation, which I believe is the future of QA. I am eager to create a global AI tool that simplifies testing, optimizes performance analysis, and helps businesses achieve faster, more reliable results. On top of this, I’ve been actively working on cutting-edge projects such as Wi-Fi 7 MLO (Multi-Link Operation) across various interop clients like Samsung S24 Ultra, Intel BE200, QCA HMT, and iPhone 16. I’ve also been involved in testing rotating MAC addresses on Apple’s new feature rollout in iOS beta 18 and macOS 15. My passion for innovation drives me to stay at the forefront of technology, constantly exploring ways to leverage AI, automation, and data-driven insights to improve the QA landscape. I look forward to connecting with like-minded professionals and contributing to projects that push the boundaries of what's possible in quality assurance and automation.

Stackforce AI infers this person is a Wireless Networking and Automation Specialist with a focus on AI-driven QA solutions.

Location: Srimushnam, Tamil Nadu, India

Experience: 9 yrs 1 mo