TL and founding engineer on the AI search team building the next generation information retrieval system

Key contributor & SME to the indexing and serving pipeline to support search at scale for Zendesk

• Drove various performance initiatives to improve query latency and relevance.

• Led the team that redesigned the whole filtering experience for search via a unified filtering syntax across all products

• Designed and developed a new super low latency orchestration service using Vert.x that acts as a single point of entry for the indexing and search pipeline to improve the performance and manageability of interactions with multiple search clusters

• Led the Elastic search upgrade from 2.x to 7.x with 0 impact on customers. Tuned ranking differences, refactored and reimplemented search functionalities, schema changes, and ETL pipeline.

• Migrated the Search Service to Kubernetes to improve the scalability and management of the service containers.

• Key Contributor to the Search Architecture redesign to improve relevance, indexing & serving latency, and support searching at billion document scale.

• Designed and implemented an indexer that indexes millions of records from SQL to search index daily.

• Developed a repair service that reconciles search index and SQL data and ensures data consistency between both data stores.

• Developed multi-tenant microservices and UI controls for key features like registration, payment, & cross-event analytics.

• Re-engineered and enhanced the performance of the bulk import REST API which resulted in 40 times faster processing

• Redesigned the login page to improve scalability & user experience, support custom branding, & advertise marketing content.

• Enhanced Cvent’s RabbitMQ library to link multiple consumers and producers to SOA services.

• Awarded "Rookie of the year" at the annual company-wide, 2015.

Backend development for real-time brokerage & exchange rates calculating application clearing millions of records per second.