Designed and led Voice of Customer framework for B2B, using NLP to segment feedback into thematic clusters, increasing customer satisfaction and enhancing NPS reporting accuracy. Architected AI ML pipeline leveraging customer feedback to create intelligent FAQ systems and retrieval‐based QA, resulting in higher engagement with self‐service tools

Implemented real‐time Business Verification (BV) systems, significantly reducing bot‐driven sign‐up attacks and cutting third‐party verification costs by 42%.

Led migration of legacy batch processing to real‐time feature serving, cutting inference latency from 500ms → 30ms

Built automated ML training pipelines and real-time contextual signal processing

systems, enabling continuous model optimization that increased ad relevance

scores

• Transformed over 50k unstructured recipe records into actionable product recommendations using advanced text mining techniques.

• Developed and deployed named entity recognition models achieving a 92% F1-score, automating ingredient extraction for 50,000+ recipes.

• Enhanced customer retention by 35% and increased average order value by 25% through personalized shopping experiences at Walmart Global Tech.

Working on node.js application with front end angular js

Python, web development with Angular, express node and mongo dB