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Suju Rajan
Getting ML/AI to work in products.
Professional Background
Suju Rajan is a highly accomplished hands-on scientist and leader with over 15 years of experience in the cutting-edge fields of machine learning, artificial intelligence (AI), and deep learning. His extensive expertise extends into statistics, data mining, text mining, information retrieval, and computational advertising, making his profile invaluable in today's data-driven landscape. Suju has consistently created innovative and state-of-the-art solutions for various domains, particularly in Advertising, Search, Personalization, and Recommendation systems. This versatile skill set has allowed him to lead teams of high-caliber machine learning PhDs embedded within engineering organizations, focusing on developing scalable, real-time systems that demonstrate significant product impact. Moreover, his ability to interface seamlessly with C-level executives empowers organizations to integrate machine learning strategies effectively, driving a vision that enhances overall business performance.
Suju's illustrious career journey has seen him hold pivotal roles in some of the industry's most recognized companies. Notably, he served as the Director of Applied Science for Sponsored Products at Amazon, where he was responsible for driving innovation in product advertising through the application of advanced machine learning techniques. Prior to that, of significant import, he held the position of Senior Director of AI Engineering at LinkedIn, where he led the engineering efforts that harnessed AI for transforming the user experience on the platform.
His expertise is not limited to Amazon and LinkedIn. As the Senior Vice President and Head of the Criteo AI Lab, Suju had a major influence on the future of AI applications in the advertising domain. His leadership at Criteo includes the role of Vice President and Head of Research, where he shaped research initiatives designed to pave the way for advanced advertising solutions. Additionally, he has played key roles in personalization science at Yahoo! Inc., where he worked as both a Director and Senior Manager, creating impactful strategies to enhance user engagement through personalized experiences.
Suju began his professional journey at Cognitive Match as a Senior Research Scientist and progressed through various research-intensive roles that have established him as a thought leader in the domains of machine learning and AI research. His formative years included a research internship at Yahoo! and roles as a research assistant at the University of Texas at Austin, where he laid the groundwork for his significant contributions to the field today.
Education and Achievements
Suju Rajan's educational qualifications reflect his commitment to excellence and a solid foundation in engineering and machine learning. He earned his Ph.D. in Machine Learning from the prestigious University of Texas at Austin, where he actively engaged in research that contributed to the advancement of AI technologies. His academic journey also includes a Bachelor of Engineering in Electronics and Communication Engineering from Sri Venkateswara College of Engineering, equipping him with the essential knowledge and skills that paved the way for his successful career in technology and research.
In addition to his academic credentials, Suju is a prolific contributor to the field of machine learning, boasting over 20 publications that highlight his innovative research findings and valuable insights. He holds more than 10 patents, showcasing his ability to translate research into practical applications that have real-world impacts. His expertise has led to invitations as a keynote speaker and presenter at numerous prestigious machine learning conferences, where he shares his knowledge and engages with other thought leaders in the industry. This active participation in the academic and professional community reflects his commitment to ongoing learning and contribution to the advancement of machine learning.
Achievements
Throughout his career, Suju Rajan has achieved remarkable milestones that underscore his stature as a leader in the field of machine learning and AI. His work has not only advanced the capabilities of his organizations but has also influenced industry best practices in applying machine learning across various sectors. His ability to meld technical acumen with strategic thinking has allowed him to create a vision that embraces innovation and drives organizational growth.
Suju’s leadership in building high-performing teams of machine learning experts has crafted environments where creativity and technical excellence thrive. His experience mentoring teams of PhDs in engineering contexts has further amplified his influence, ensuring that cutting-edge research aligns closely with practical applications in the industry. As he continues to push the boundaries of what is possible in machine learning and AI, Suju's commitment to transforming data into actionable insights helps organizations navigate the complexities of modern technology landscapes.
