About

Wenfeng Zhuo is a highly skilled and experienced Machine Learning professional with a passion for large-scale distributed systems. Currently working as a Software Engineer - Tech Lead at meta, he has a wealth of hands-on experience and knowledge in various areas, including Machine Learning, Distributed Computing, Distributed Cache and Storage, Distributed Messaging, and General knowledge about distributed systems. With over 7 years of relevant experience, Wenfeng has developed a deep understanding of Machine Learning techniques, including Feature Engineering, Logistic Regression, SVM, Decision Trees, Neural Networks such as CNN/RNN, A/B Experimentation, and Wide and Deep Recommendation Systems. He is also well-versed in Distributed Computing technologies such as MapReduce with Hadoop, RDD with Spark, and Streaming with Flink, as well as Distributed Cache and Storage technologies like Memcache Cluster, LSM with HBase, Column-oriented data store like Druid, Key-Value store such as Cassandra/DynamoDB/etcd, and Large Graph Store like TAO. Additionally, he has experience in Distributed Messaging (Log-based system such as Kafka) and General knowledge about distributed systems, including Consensus Algorithm like Raft, CAP Theorem, Replication, Partitioning, Consistency, Distributed Transactions, and Network Protocols like TCP/IP. Wenfeng has worked for several notable companies in the past, including quantcast and marin software, where he served as Engineering Manager and Software Engineer, respectively. During his tenure at marin software, he improved existing systems with faster speed and created distributed systems with high performance. He also created innovative internal tools to improve the working efficiency of the whole team, using technologies like Java, Spring, Hibernate, Hadoop, Spark, Kafka, Akka, Dropwizard, AngularJS, and HTML5. Wenfeng holds a Master of Science in Applied Analytics from Columbia University and a Bachelor of Science in Computer Software Engineering from East China Normal University. He is a Senior Software Engineer with a solid understanding of various technologies, including ML, Recommendation systems, SVM, Spark, MemCache, CNN, RNN, MapReduce, Hadoop, Kafka, Neural Networks, Cassandra, Web, test, Spring, Java, and AngularJS. Passionate about his work, Wenfeng is always looking for new challenges and opportunities to further develop his skills and knowledge.