Kangsan Lee is a pivotal Machine Learning Engineer at Amazon, where he plays an instrumental role in transforming the indexing operations within the Sponsored Brands Advertising and Shopping Experience Search team. With a deep-seated expertise in machine learning, Kangsan has successfully led cross-team architecture design...
Kangsan Lee is a pivotal Machine Learning Engineer at Amazon, where he plays an instrumental role in transforming the indexing operations within the Sponsored Brands Advertising and Shopping Experience Search team. With a deep-seated expertise in machine learning, Kangsan has successfully led cross-team architecture design initiatives that have not only streamlined processes but also significantly reduced operational costs by 50%. His innovative approach to developing a high-throughput logging system has enhanced data accessibility and analytics, enabling the team to make informed decisions swiftly.
Kangsan's technical prowess is exemplified through his development of a Lucene-based search service, which leverages gRPC technology powered by advanced machine learning algorithms. This service has improved the search experience for users, ensuring that they receive more relevant results in real-time. Furthermore, his design of a search index replication workflow optimization has achieved an impressive 99.99% scalability and availability, showcasing his commitment to delivering robust and reliable solutions.
His mastery of tools such as Solr and AWS OpenSearch, combined with a diverse skill set that includes programming languages like Python and JavaScript, positions Kangsan as a leader in the field of search technology. By fostering collaboration across teams, he has not only driven innovation but also created a culture of continuous improvement within the organization. Kangsan Lee’s contributions are a testament to the power of machine learning in enhancing user experiences and operational efficiencies at Amazon, making him a valuable asset in the ever-evolving landscape of e-commerce technology.
