Nazerke Seidan is an IR/ML software engineer with eight years' experience building and scaling search systems, currently focused on Search as a Service at Sease. She spent four years at Salesforce working on an enterprise search platform serving millions of users and contributed to Apache Solr upstream. Her background blends production engineering with research-grade system evaluation—at CERN she tested erasure coding on multi-terabyte datasets and at ETH Zurich she implemented visualization tooling for stream-processing metrics. Comfortable across cloud, distributed systems, and search stacks (Solr, Hadoop, AWS, Docker, Terraform), she also holds hands-on experience delivering RESTful APIs and CI/CD workflows. A certified Scrum Master, she brings both disciplined delivery practices and deep IR specialization to complex performance and scaling challenges. Notably, her early contributions helped introduce Streaming Expressions support into Cloudera Search, showing a pattern of turning research insights into production features.
8 years of coding experience
5 years of employment as a software developer
High School Diploma Physics and Maths, High School Diploma Physics and Maths at Nazarbayev Intellectual Schools
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Eötvös Loránd University
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