Tejas P. is an experienced software engineer with a strong focus on infrastructure systems and distributed data processing. At Persistent Systems, Tejas contributed to the design and implementation of an enterprise search engine and took complete ownership of the crawler module. An internship at LinkedIn involved enhancing Apache Kafka with a new feature for inbuilt offset management. Tejas further advanced in the field at Meta, where work included building infrastructure systems and contributing to the Data Infrastructure group, particularly with Hive, Hadoop, and Spark. As a PMC member and committer at The Apache Software Foundation, Tejas has made significant contributions to Apache Nutch and Apache Spark, focusing on performance improvements and reliability. Currently, Tejas is involved in the GenAI R2P Platform at Meta, leading efforts in AI infrastructure and revamping recommendation systems. Tejas holds a Bachelor of Engineering in Information Technology from Maharashtra Institute of Technology.
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