Ravendar Lal

Ravendar Lal is a product leader with expertise in scalable systems, Recommendation Systems, Natural Language Processing, and Machine Learning based applications, particularly in the Search and Personalization domain for B2B and B2C products.

Currently, Ravendar is leading initiatives at Salesforce to make Search more intelligent, handling over 1 billion queries per month and offering secure, customizable search options to enterprise companies globally.

Prior to Salesforce, he spent over 6 years at Amazon, where he was involved in critical domains such as Search, Personalization, Advertising, Customer Reviews, and Chatbots. He also has in-depth knowledge of A/B experimentation and served as an A/B experiment consultant.

Ravendar's educational background includes a Doctor of Philosophy (PhD) and a Master of Science (MS) in Computer Science with a focus on Artificial Intelligence, Machine Learning, and Natural Language Processing. He also holds a Bachelors of Science in Computer Science and an Executive MBA in Strategy Management.

His professional experience ranges from being a Director of Product Management at Salesforce to holding senior product management roles at Amazon, including working as a Software Development Engineer. Additionally, he has research experience as a Ph.D. candidate and Research Assistant at the University of Maryland and worked as a Software Engineer at Techlogix.

Ravendar Lal's expertise lies in #PlatformStrategy, #MachineLearning, #NLP, #Search, #ABExperiment, #ArtificialIntelligence, #Personalization, #Recommendations, #Community, #Chatbot, #Marketplace, #CustomerExperience, and #Agile practices.