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At Orthogonal, we celebrate the unique journeys and expertise that shape our team. This month, we’re spotlighting Wyatt Lendle, a Test Automation Engineer whose path from hardware troubleshooting to software testing reflects his adaptability and problem-solving mindset. With a background in computer engineering and experience across startups, Wyatt has honed his skills in automation frameworks, helping to enhance software reliability in MedTech. His passion for continuous learning and thoughtful AI implementation drives his work, ensuring that healthcare technology remains both innovative and dependable.
Wyatt Lendle’s career has been shaped by his ability to adapt, troubleshoot, and embrace new challenges. After earning his degree in computer engineering from Binghamton University, he began his professional journey in a field that had little to do with software, traveling across power plants to troubleshoot hardware and server issues. This experience taught him to stay calm under pressure and to solve problems quickly, skills that became invaluable when he transitioned into the world of software testing.
Eager to break into the tech industry, Wyatt took a leap into quality assurance (QA) at a healthcare startup. Despite his limited web testing experience at the time, his strong analytical skills allowed him to thrive, and in just a few months, he was playing a key role in launching a major healthcare application. From there, he continued to grow, moving into test automation and working with cutting-edge tools to enhance software reliability. After stints at multiple startups, Wyatt found his way to Orthogonal, where he has spent the past year honing his expertise in automation frameworks. Now, as a full-time Test Automation Engineer, he’s excited to deepen his impact and contribute to the company’s mission of advancing healthcare technology.
For Wyatt, the rapid rise of AI is the most significant shift happening in software development and MedTech. From automating testing workflows to enhancing medical devices, AI’s potential is limitless, but he’s cautious about how it’s implemented. He emphasizes the need for thoughtful oversight to ensure that AI-driven solutions remain accurate, scalable, and reliable.
Staying current in an ever-evolving industry requires continuous learning. Wyatt keeps up by following thought leaders on LinkedIn, engaging with the development communities of tools like Playwright, and exchanging insights with colleagues. He believes the best way to stay ahead isn’t just reading about new trends. It’s actively experimenting, testing, and applying them in real-world projects.
Wyatt thrives on challenge and continuous improvement, both in and out of work. A dedicated athlete, he picked up running during the pandemic and recently completed his first half marathon, with plans to tackle a full marathon next. In the winter, you’ll find him snowboarding in Vermont or the Rockies, and in the summer, he enjoys golfing, though he readily admits his scorecard doesn’t always reflect his enthusiasm.
Beyond sports, Wyatt is passionate about animal rescue efforts in the Hudson Valley. While he can only have fish in his current apartment, he hopes to adopt rescue dogs in the future. He also has an unexpected past as a Game of Thrones blogger, running a semi-popular fan analysis site during the show’s peak.
Wyatt is driven by a commitment to excellence and collaboration. He takes pride in building automation frameworks that not only work but are built to last, ensuring that his contributions continue to provide value long after a project is complete. At Orthogonal, he appreciates the company’s dedication to truly listening to clients and delivering on promises, a philosophy that aligns with his own belief in integrity and follow-through.
Looking ahead, Wyatt envisions himself taking on a leadership role in automation, guiding teams, and helping shape best practices in MedTech software testing. He hopes his work contributes to making healthcare technology more efficient, reliable, and impactful, helping to improve patient outcomes through better software.
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