Asif Mohammed is a Software Engineer II with nine years of experience building scalable backend systems, currently at Sumo Logic after contributing to AWS OpenSearch ingestion features. He has shipped production-grade Java and Python components—S3 source plugin, Peer Forwarder, and a GeoIP processor—improving ingestion performance, usability, and security for OpenSearch users. A strong refactorer and maintainer, he has driven code improvements in the OpenSearch Data Prepper project, adding builder patterns and better date/time handling to support peer-forwarder functionality. He holds an MS in Computer Science from UT Dallas with a machine learning focus and multiple ML/AI certifications, pairing rigorous academics with hands-on cloud engineering. Based in Austin, he combines platform-level problem solving with a demonstrated knack for turning research-minded ideas into operational features.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at The University of Texas at Dallas
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Muffakham Jah College of Engineering & Technology
OpenSearch Data Prepper is a component of the OpenSearch project that accepts, filters, transforms, enriches, and routes data at scale.
Role in this project:
Back-end Developer
Contributions:8 releases, 863 reviews, 110 commits in 1 year 3 months
Contributions summary:Asif primarily focused on refactoring and improving the structure of the project by moving packages and updating class names. The user implemented builder patterns and added static methods for building immutable logstash model classes. Furthermore, the user added methods and annotations, specifically around the date processor and the addition of the Java time module to the object mapper. These changes indicate a focus on improving code maintainability, and adding more functionality for the peer forwarder functionality.
Data Prepper is a data ingestion component that pre-processes documents before indexing them in OpenSearch.
Contributions:609 pushes, 231 branches, 8 tags in 2 years 5 months
prepperdata-ingestionindexingopensearchingestion
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Asif Mohammed - Software Engineer II at Sumo Logic