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Pranav Singh
VP of Machine Learning and Engineering @SoundHound AI
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WORK HISTORY
VP of Machine Learning and Engineering @SoundHound AI
San Francisco, CA, US
Hands-on Engineering Leader for Agentic AI, Generative AI, LLMs, M/L, Data Science, Data Engineering and Analytics initiatives across the company (SoundHound, Hound and Houndify platform). My team focuses on improving real time NLU by building generative AI models, Agentic AI Systems, NLG and Dialogue systems using LLMs, traffic analysis (Big Data and M/L), data retrieval (search, autocomplete, query suggest), personalization (recommendations etc), billing and analytics for all Houndify developer platform users, reports and insight generation, voice Ads etc.Patents (granted):(*) Bidirectional probabilistic natural language rewriting and selection(*) Predicting human behavior by machine learning of natural language interpretations(*) Natural Language Module Store(*) System & Method for Detection & Correction of a Query(*) Machine learning system for digital assistants(*) Neural sentence generator for virtual assistants(*) Token confidence scores for automatic speech recognitionWe are hiring! Join us to solve most interesting problems in the area of Conversational AI and Machine Learning
EDUCATION
Stanford University Graduate School of Business
Entrepreneurship
National Institute of Technology Durgapur
B.Tech (Hons), Computer Science and Engineering
University at Buffalo School of Management, The State University of New York
Masters, Management Information Systems, General
SKILLS
ABOUT PRANAV SINGH
Engineering leader with 20 years of experience delivering cutting-edge machine learning systems, conversational AI platforms, and customer-facing innovation at scale. Proven success incubating new ideas, leading cross-functional engineering and GTM teams, and building scalable AI infrastructure — from 0→1 innovation to $3B IPO. Patented inventor with deep expertise in LLMs, multi-agent architectures, and high-performance AI systems powering global products.Interested in working with me on building next-generation Generative AI Models/ LLMs, data processing and insight generation systems, solving some of the most interesting data science problems, using NLP and deep learning to make data speak? We are hiring: make it possible to speak naturally to mobile phones, cars, refrigerators, TVs, music speakers, coffee machines, and every other part of the emerging \'connected\' world!
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