Aashish Anand

Experience

1. Software Development Engineer Iii

   Expedia Group

   Sep 2020 — Present · Gurugram, IN

   Developed a AI Agent leveraging GPT models, Agentic RAG, and Multi Turn Function Calling to drive personalized, intent-aware travel search across Expedia brands- Enabled natural language interactions and semantic search using vector databases and hybrid retrieval, capturing explicit user signals and enhancing intent understanding throughout the user journey- Collaborated with Principal and Senior SDEs to design and deliver Traveler Q&A, resulting in a $7.8M impact through improved user engagement and conversions- Designed and delivered AI-powered Review Search in collaboration with a Senior SDE- Building destination auto-complete search across all EG brands, including Recent History, Popular Destinations, and Nearby Hotspots- Re-architected Recent History search, reducing latency from 80–90ms to 16– 25ms; delivered multi million dollar performance gain- Independently, implemented Delete User History in Typeahead across all brands and POS; resulted in multi-million dollar impact- Refactored Web Typeahead user interaction events; increased coverage from 40% to 95%, enabling better ML model training- Led team mentoring post-reorg, improving collaboration, onboarding, and skill development across the newly formed team- Migrated Search Intent stack from EC2 to managed K8s (RCP), saving ~$100K annually in AWS infrastructure costs. Migrated from Elasticsearch to ScyllaDB; reduced data ingestion time from 30 mins to 4 mins per million documents- Led 8-member team on Dynamic Filters and A/B Testing Framework for filters (collective impact:$18M), enabling runtime filter config without developer involvement and improved experiment effectiveness.

Education

• Delhi Technological University (Formerly DCE)

  Bachelor of Technology - BTech, Software Engineering

  2014 — 2018