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Urvesh Bhowan
Applied Scientist at Amazon Web Services (AWS)
Urvesh Bhowan is a highly accomplished Artificial Intelligence (AI) technologist and educator specializing in Data Analytics. With extensive experience spanning both academic and industry landscapes, he has established a robust expertise in areas such as machine learning, natural language processing, and computer vision. His professional journey reflects a dedication to not only advancing AI technologies but also imparting knowledge to the next generation of data scientists and technologists through his teaching endeavors.
Professional Background
Having earned his Doctor of Philosophy (PhD) in Computer Science from Victoria University of Wellington, Urvesh quickly transitioned into roles that allowed him to pursue both research and applied work in AI. Notably, he serves as an Applied Scientist at Amazon Web Services (AWS), where he contributes to groundbreaking projects that leverage AI to enhance cloud computing services. Additionally, his illustrious past includes positions such as AI Innovation Data Science Senior Manager at EY, where he led significant initiatives in data science and AI innovation.
Urvesh's commitment to education is reflected in his role as an Associate Faculty Lecturer at the National College of Ireland. Here, he combines his real-world experience with academic instruction, shaping future leaders in technology. His career has also seen him take on various roles at leading firms including Accenture, where he held multiple positions—including Advanced Analytics and AI Associate Manager—driving the development of advanced analytics solutions to optimize business performance.
His experience at IBM as a Watson Core Algorithms Software Engineer was pivotal in honing his skills in natural language processing and machine learning, which are essential for developing intelligent systems that understand and process human language. Through his role as a Postdoctoral Research Fellow at Trinity College Dublin, Urvesh has also made substantial contributions to the field of AI research, exploring innovative approaches to solving complex problems.
Education and Achievements
Urvesh’s academic background is formidable, stemming from Victoria University of Wellington, a prestigious institution known for its strong emphasis on research and technological advancement. With his Bachelor of Science (Honours) in Computer Science, graduating with a 2/1 classification, he laid the groundwork for a career that would bridge theoretical knowledge and practical application. His subsequent pursuit of a PhD equipped him with a deep understanding of machine learning and its applications, enabling him to excel in both academia and the private sector.
His published works and research contributions in various renowned journals have not only enhanced his credentials but have also significantly influenced the field of AI. Urvesh continues to engage in research projects, collaborating with academic institutions and industry leaders to foster innovation and bridge the gap between AI theory and practice.