Ravisher Dhillon
About Ravisher Dhillon
Ravisher Dhillon is a Staff Machine Learning Engineer at Quantcast, where he has worked since 2021. He has extensive experience in software engineering and machine learning, having held various roles at notable companies including Oracle, Scotiabank, and Sentient Technologies.
Work at Quantcast
Ravisher Dhillon has been employed at Quantcast as a Staff Machine Learning Engineer since 2021. In this role, he focuses on developing machine learning solutions specifically designed for the AdTech industry. His expertise includes implementing advanced AI solutions that leverage Natural Language Processing (NLP) and Deep Learning techniques. Dhillon's work contributes to enhancing Quantcast's capabilities in delivering data-driven insights and advertising solutions.
Previous Experience in Software Engineering
Prior to his current position, Dhillon held various roles in software engineering. He worked at Oracle as a Senior Software Engineer specializing in machine learning from 2020 to 2021. Before that, he served as a Senior Software Engineer Team Lead at Scotiabank from 2019 to 2020. His earlier experience includes roles at AI Deep Dive and Sentient Technologies, where he focused on machine learning and software engineering, respectively.
Educational Background
Ravisher Dhillon earned a Bachelor of Technology in Computer Science & Engineering from Punjab Technical University, completing his studies from 2000 to 2004. He furthered his education by obtaining a Master's degree in Computer Software Engineering from San Jose State University, where he studied from 2005 to 2007. Additionally, he attended AI Deep Dive, completing a Bootcamp in Machine Learning in 2019.
Technical Expertise
Dhillon possesses strong technical skills in various areas of machine learning and software development. He has expertise in Natural Language Processing (NLP) and Deep Learning, which are essential for creating sophisticated AI solutions. His experience with big data technologies, such as Spark and MapReduce, enables him to build scalable data pipelines. He is also proficient in cloud computing with AWS and containerization using Docker, which enhances the deployment and scalability of machine learning models.
Career Progression
Ravisher Dhillon's career in software engineering spans over a decade, with significant roles in leading technology companies. He began his career at RMS, where he worked as a Senior Software Engineer for several years. He later transitioned to positions at Sentient Technologies and AI Deep Dive, before taking on leadership roles at Scotiabank and Oracle. His diverse experience has equipped him with a comprehensive understanding of software architecture and the design of efficient AI systems.