About

Sushobhit Rajan is a Senior Software Development Engineer at Amazon, with over 12 years of relevant experience in software engineering and machine learning. He is a skilled problem-solver with a good understanding of data structures, and he loves to solve real-time problems. At Amazon, Sushobhit is responsible for developing Amazon Payment Products, where he applies his expertise in building scalable and reliable systems. Prior to Amazon, he was a Lead Member of Technical Staff at Salesforce, where he achieved sales success from anywhere by building features within Sales Cloud for better customer experience to help businesses grow by multifold. Sales Cloud is Salesforce's flagship product suite and the world's #1 CRM sales solution. Sushobhit has also worked as a Software Development Engineer IV at Flipkart, where he built the Flipkart Content Discovery Platform (aka Blending Engine) across all the pages to balance merchandising, ads, and personalized recommendations. He leveraged ML to boost visual diversity, ranking in user path, and building personalized shopping experience. He also built a capability (near real-time) to calculate and predict views, impressions, GMV across all business units and supercategory to help businesses grow. Leveraging ML models and tuning objective functions in real-time to achieve goals. Sushobhit has a Bachelor's degree in Computer Science from the University of Pune, and a Machine Learning Nanodegree from Udacity. He has a diverse tech stack, including expertise in microservices, Spark, CI/CD, Java, Docker, NoSQL, Hadoop, Elastic Search, Kafka, Spring Boot, Spring, Jenkins, Search, Integration, Backend, and Web. He has also written microservices using Spring Boot (Maven and Gradle) and implemented Continuous Integration, Continuous Delivery, and Pipeline as code using Jenkins(v2.0). Sushobhit has a passion for solving complex problems of supply chain management and scaling distributed systems. He has experience in building analytics products on top of data platforms using Map Reduce, Spark, Kafka, Storm, NoSQL - HBase. He has also built a scalable search engine on Elasticsearch for businesses and operational use cases and built web applications for real-time dashboard using Kibana Frames and Bootstrap. He is always eager to learn and explore new technologies to solve real-time problems.