Aditya Gudla

Product Manager

San Francisco, California, United States9 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 10 years of e-commerce product management experience
  • Proven track record in launching 0→1 products
  • Finalist in GenAI Championship for innovation
Stackforce AI infers this person is a Product Manager specializing in E-commerce and AI-driven solutions.

Contact

Skills

Core Skills

Product ManagementData AnalysisProcess Optimization

Other Skills

AutoCADBalsamiqCData-driven Decision MakingGraphic DesignGraphic DesigningHTMLMicrosoft ExcelMicrosoft OfficePhotoshopProduct DesignProduct DevelopmentProduct Lifecycle ManagementProgrammingPublic Speaking

About

10 years of e-commerce product management experience with deep expertise in search. Proven track record in building scrappy prototypes, launching 0→1 products, and driving core metrics through strategic roadmap execution. Part time pilot and an intermediate tennis player (UTR 3.5).

Experience

Walmart global tech

2 roles

Staff Product Manager, Search (Retrieval)

Promoted

Feb 2022Present · 4 yrs 2 mos

  • Owning key search retrieval metrics (Search Add-to-Cart Rate, NDCG@5, Recall Completeness); drove $150M+ annual sales
  • Led development of query-product type affinity model, and applied it to drastically reducing low-match items in retrieval set. Lift of 3bps site conversion rate, driving $54M incremental annual sales.
  • Launched semantic search to bridge phrase gaps between user queries and item listings, enabling exploratory shoppers to find exactly what they want. Lift of 10bps search add to cart rate, driving $5M incremental annual sales.
  • Leveraged GenAI to synthesize new metadata for existing catalog to supercharge text match based search. Initiative drove Search Add-to-Cart by 7bps.
  • Finalist (top 9 of 70 teams) in org-wide GenAI Championship for customer-focused innovation.
  • Introduced item content enrichment service that reduces bias for marketplace sellers gamifying search retrieval and ranking systems. Generated $18M additional sales.
  • Vibe coded and launched Why Search Why, an internal AI agent that takes a problematic retrieval case and triangulates the exact reason by debugging systems across search stack - item index, query understanding, query normalization, spell check and ranking service.
Product ManagementData AnalysisPythonSQLProcess OptimizationProduct Lifecycle Management+2

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Education

Indian Institute of Technology, Madras

Bachelor of Technology

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