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Daniel Qi
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Daniel Qi is a highly accomplished computer scientist and software engineer with extensive experience in both academia and industry. He has made significant contributions to the field of computer science through his research and various high-profile roles in leading tech companies. With a Ph.D. in Computer Science from the University of Missouri-Columbia and graduate studies in the same field at The University of Alabama, Daniel has a solid educational foundation that has facilitated his successful career.
Throughout his professional journey, Daniel has showcased his expertise in software engineering, machine learning, and search science. He began his career as a Software Engineer at Microsoft, where he gained valuable experience and honed his technical skills. Daniel then progressed to A9.com, a subsidiary of Amazon, where he further developed search algorithms and technologies. As a Senior Software Engineer at Polyvore, he contributed to various innovative projects until the company was acquired by Yahoo!, expanding his horizons in the tech ecosystem.
Building on these foundational experiences, Daniel took on the role of Principal Software Engineer and Head of Search Science at Quixey. His leadership in this position was marked by his innovation in search technology, where he played a crucial role in laying the groundwork for advancements in this area. After his time at Quixey, he served as a Senior Software Engineer at Celential.ai, where he applied his profound knowledge in artificial intelligence and data-driven decision-making.
In his current role as a Member of Technical Staff at Roku Inc., he continues to push the boundaries of software development, specializing in creating engaging user experiences and improving streaming technology. His passion for teaching and sharing knowledge also led him to serve as an Assistant Professor at Lamar University, where he inspired the next generation of computer scientists and engineers. Daniel's academic insights and industry knowledge make him a valuable member of any team, and he continues to innovate and drive technological advancements in his current position.
Daniel Qi's professional journey is marked by a commitment to excellence and a drive for continuous learning and improvement. His contributions to software engineering and his leadership roles in major tech firms underscore his reputation as a trailblazer in the computer science field. Daniel's unique skill set and diverse experiences make him an expert in search technologies, machine learning, and software development.