Konstantin Pelykh is a search engineer and independent consultant with 14+ years building and scaling search and big data systems, from low-level Lucene codec optimization to running ElasticSearch clusters at over one million requests per minute. He blends deep systems expertise (Lucene, Solr, ElasticSearch) with production data pipelines using Kafka, Spark, Hadoop, Cassandra and HBase, and has led architecture and engineering teams as CTO/co-founder of Tradefora. His work spans practical product delivery—real-time ETL, voice-search pipelines, and security-focused patents in fintech—to open-source impact as the founder of the widely used docker-java client. Recently he’s been exploring NLP, semantic search and text embeddings to bring modern relevance to legacy search stacks, and he now builds AI-powered fashion search at Daydream in New York. Not obvious from his title: he’s repeatedly solved niche infrastructure problems (encryption/compression codecs, Accumulo-backed indexes and Mesos job managers) that enabled search at extreme scale.
14 years of coding experience
8 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Komsomolsk-on-Amur State Technical University (KnASTU)
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