About

Suyash Garg is a seasoned Software Engineer with over 5 years of experience in the field. He is currently working at wise, where he has been able to hone his skills in Distributed Systems, Data, and Machine Learning. Suyash's LinkedIn headline reads "Software Engineer at ICE |", which is a testament to his expertise in the industry. Before joining wise, Suyash worked at Zalando as a Software Engineer, where he was responsible for working on Zalando's Central Event Bus based on Kafka-like queues. This project enabled easy publishing, consumption, and analysis of events at a very high scale, with over 100+ TB/day transfer. Suyash's work on this project was instrumental in creating open-source products Nakadi and Nakadi SQL, which were built on top of Apache Kafka and Kafka Streams. Suyash also worked as a Google Summer of Code Mentor at Metabrainz Foundation, where he mentored the project "GSoC 2019: Support for Reviewing and Rating More Entities on CritiqueBrainz". This project involved adding support for reviews for more entities already present in the MusicBrainz (music-metadata) database. The amazing work done by the student Shamroy Pellew is described in the MetaBrainz blog. Suyash holds an Engineer's Degree in Computer Science from National Institute of Technology Hamirpur, where he studied from 2014 to 2018. His TechStack includes Software Engineering, Machine Learning, Kafka, and SQL. Suyash's relevant experience in the industry is 5.11 years, making him a valuable asset to any organization he works with.