Samyak Sarnayak is a software engineer with 8 years of experience building high-performance data systems and scalable cloud services from early-stage startups to enterprise customers. He’s worked across query engines, distributed joins, and data-pipeline orchestration—implementing a novel Variant data type at e6data and designing queue-based, incremental scanners that processed millions of files at Normalyze. He also built cost-optimization and warehouse-tuning tooling on Snowflake and accelerated Trino query performance in multi-petabyte environments during an Akamai internship. An active back-end contributor to Meilisearch, he has hands-on experience improving search tokenization and phrase-matching for challenging character sets. Based in Bengaluru, he combines systems-level performance work with practical production deployments on cloud platforms like AWS and Azure.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Computer Science, 9.62, Bachelor of Technology, Computer Science, 9.62 at PES University
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Role in this project:
Back-end Developer
Contributions:23 commits, 5 comments in 10 months
Contributions summary:Samyak primarily focused on improving the search functionality of the Meilisearch engine. Their contributions involved fixing bugs related to search highlighting for non-unicode characters, which required changes to the tokenization and matching algorithms. They also addressed issues in phrase search containing stop words and refined criteria for exactness and proximity. Furthermore, the user made code style improvements, including running cargo fmt on the codebase, and improved tests.
Contributions:1 PR, 34 pushes in 3 years 10 months
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