About

Arun Ramani is a Senior Manager in Machine Learning with over 14 years of relevant experience. Currently, he is leading and managing a team of Machine Learning engineers and managers at PayPal. Arun is an excellent motivator and skilled in hiring and maintaining high-performing engineering teams. He has worked as a Principal Software Engineer at PayPal and Software Engineer at Yahoo! Sunnyvale in Hadoop/Mapreduce team and eBay Big Data Platform team. Arun is experienced in working with Spark, Spark-SQL, Hadoop Distributed File System (HDFS), Mapreduce, Giraph, HCatalog, Hive, Hbase, and Elasticsearch. He possesses both Big Data application development as well as Big Data admin skill set. Arun is proficient in coding with Scala, Java, Perl, and shell scripts. He is also competent in Linux System Administration and possesses good debugging skills both at the application level and at the system level. He is experienced in Kerberos Security Authentication model and Hudson Builds and Continuous Integration Model. Arun has served as a Graduate Teaching Assistant at the University of Texas at Arlington. Arun's specialties include Spark, Spark Streaming, Spark-SQL, Hadoop, HDFS, MapReduce, HBase, Hive, PIG, Giraph, Java, Perl, Linux/Unix OS, expertise in troubleshooting large scale Hadoop Clusters, and expertise in working with agile Scrum software development methodology. He is proficient in Continues Integration build process using Jenkins. At PayPal, Arun built and maintained a high-performing, empowered engineering team to deliver business solutions. He set a strategic vision for the function, planned, and executed to achieve the vision. He led, managed, hired, and empowered the team. Arun developed people in line with PayPal's strategic organizational objectives. He influenced other areas of Engineering organization through common initiatives and built cross-functional relationships with PayPal Product Development teams. Arun identified opportunities to minimize the operational cost by choosing the right technology and support model. He evangelized, influenced, and promoted adoption of open-source technologies. Arun designed, developed, and delivered solutions in Big Data platform using Spark. He worked closely with the Operations team to identify opportunities for optimal usage of the cluster both from the platform as well as from the application standpoint. Arun implemented many Graph processing algorithms Using Apache Giraph for risk and fraud detection use cases. Arun holds a Masters's degree in Computer Science and Engineering from the University of Texas and a B.Tech degree in