Sourabh Ojha

Led the Query Understanding project, directly impacting search results across the company's platform.

• Interpreted and enhanced search queries to improve user experience and result accuracy across company platforms.
• Designed and deployed APIs over ML models for language detection, spell correction, and query translation.
• Built an efficient API over an ML model to extract and classify query attributes, such as recognizing colors (e.g., "red" in "red shirt") and distinguishing between company-specific and product-specific search intents.
• Integrated and adapted pre-built external ML models to align with business requirements.
• Optimized query-related services by collaborating with data scientists and backend engineers to enhance accuracy and performance.
• Implemented efficient caching mechanisms to reduce response time and improve system performance.
• Utilized parallel threading techniques to speed up query processing and handle high request loads efficiently.