Multiple product entity extraction from dialog
Research on Entity Transformer architectures for voice ordering systems, recognizing up to 10 product items in a single utterance.
Applied machine learning research & real-world AI systems
Praneeth Gubbala
Principal Applied Scientist - Gen AI Lead
NLP · LLMs · Generative AI · AI Agents
I work at the intersection of applied machine learning research and practical AI systems, with a focus on language, conversational experiences, and intelligent products.
Profile
Building useful intelligence from language.
My background includes leading generative AI and conversational commerce work at Walmart, developing conversational AI and NLP platforms, and working on NLU for Samsung Research India's Bixby assistant. I hold a master's degree in Computer Science from Stony Brook University, with a focus on natural language processing.
Research highlights
From research to product
Conversational commerce
Work connecting language understanding and voice experiences so customers can complete multi-item shopping tasks through natural dialog.
Research interests
Questions I care about
Large Language Models
Generative AI
AI Agents
Natural Language Processing
LLM Evaluation & Observability
Machine Learning
Recommendation Systems
Conversational AI
Intellectual property
Four patents across conversational search and commerce
My patent work covers product identification from speech, multi-facet voice search refinement, autonomous API agents, and digital assistant experiences.