Ashish Vasava

Ashish Vasava

Product Management (AI/ML) | Expedia, Microsoft | CMU & IIT Kharagpur, Computer Science

9 yrs experience · San Francisco, CA · 20-30 hrs/week

About

Experienced Product Manager with 8+ years in AI/ML, Search Relevance, Generative AI, and e-commerce Marketplace across consumer and enterprise domains. Led initiatives driving ~$55M cumulative gross profit uplift at Expedia Group, Microsoft, and AI startups. Deep understanding of building scalable technical products, defining product strategy keeping customer & business needs at the center, and executing with high agency & teamwork. B.Tech & M.Tech from the Indian Institute of Technology (IIT), Kharagpur in Computer Science and Engineering and an MS in Product Management from Carnegie Mellon University.

Skills

A/B TestingData AnalysisMachine LearningProduct DesignProduct DevelopmentProduct Strategy

Experience

  • Product Manager Lead · Expedia Group05-01-2021 – 09-01-2023

    Team: Search & Discovery • Product Strategy: Defined product strategy & roadmap for Vrbo Ranking, 0-1 Product – Guest Experience Score & Gen AI teams, driving alignment with org OKRs & mission, resulting in ~$55M in gross profit increase at Expedia. • Relevance Improvements: Enhanced Vrbo's ranking system by integrating relevant signals and optimizing the model to increase conversion and gain ~$25M in annual gross profit. • Customer Experience: Launched Guest Experience Score globally on Expedia.com, reducing preventable bad experiences during trips & increasing traveler return rate by 8.5%, contributing ~$14M in annual gross profit. • Generative AI: Launched a 0-1 Review Search experience on Expedia leading to ~30M monthly search queries. • Personalization: Launched a personalized search retargeting experience that boosted conversion rate, generating an additional ~$9M in annual gross profit. • Product Design: Overcame sparse data issues to redesign Guest Experience Score V2 & Supplier Portal UI, increasing supplier engagement by 23% and ~$7M in annual gross profit.

  • Product Advisor · InterviewReady.IO10-01-2023

    Leadership: Advisor to the CEO of a ~$1M ARR company, shaping product strategy, investment priorities and key initiatives to help software engineers upskill and prepare for interviews.

  • Product Manager · Cognistx2020-03-01 – 2021-06-01

    COGNISTX – Applied AI SaaS Platform startup Product Launch: Led a 0 to 1 Product, an NLP-based risk management platform for SOC form processing, which reduced user form completion time from 2 weeks to 1 week, increasing MRR by 15%.

  • Product Manager Intern · Whiterabbit.ai2019-05-01 – 2019-08-01

    WHITERABBIT.AI INC. – AI for Breast Cancer detection B2B startup Experimentation: Designed and executed A/B tests that reduced Radiologist's reading time for breast cancer exams by 20%, saving the company over $1M+ annually. Go-to-market Plan: Transitioned patient onboarding from paper forms to a mobile app, enabling instant access to test results and reduced wait times, leading to 1000+ downloads in 3 months.

  • Software Engineer · Microsoft2015-06-01 – 2018-09-01

    Bing Search: Retail & Shopping, Engagement Team(s) Machine Learning: Launched Bing's first Retail Shopping feature by building a CRF ML model for 18 product categories. Boosted user engagement and increased search queries by 12M+ annually in the US market. Data Analytics: Analyzed extensive query patterns to identify two product use cases, helping the PM shape the MVP for Bing's Retail & Shopping Team. User Engagement: Drove a 10M+ monthly increase in Distinct Search Queries for Bing's Engagement Team by taking ownership of developing multiple engagement experiences on Bing.com.

  • Software Developer Engineer, Intern · Microsoft2014-06-01 – 2014-07-01

    Bing Search Engine: Local Team Received return offer for a full-time Software Engineer position starting June 2015

Education

  • Carnegie Mellon University - Tepper School of BusinessMaster of Science - MS, Product Management
  • Indian Institute of Technology, KharagpurBachelor of Technology (B.Tech) & Master of Technology (M.Tech), Computer Science and Engineering

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