Praneeth Bedapudi
About Praneeth Bedapudi
Praneeth Bedapudi serves as the NLP Lead at RingCentral, where he focuses on conversational AI products and sales intelligence. He has extensive experience in AI project lifecycles and previously held positions at Safe Kids AI, DeepAffects, Reckonsys Tech Labs, and Abzooba.
Work at RingCentral
Praneeth Bedapudi has been serving as the NLP Lead at RingCentral since 2020. In this role, he leads the natural language processing initiatives related to the company's AI APIs. His focus is on developing conversational AI products and enhancing sales intelligence through RingCentral's platform, specifically utilizing RingSense. His work involves overseeing the implementation and optimization of AI solutions that improve customer interactions and business processes.
Previous Experience in AI and Machine Learning
Before joining RingCentral, Praneeth Bedapudi worked as the AI Lead at Safe Kids AI from 2020 to 2022. His responsibilities included managing AI projects aimed at enhancing child safety through technology. Prior to that, he was a Senior Machine Learning Engineer at DeepAffects for one year, where he contributed to machine learning model development. He also held the position of Deep Learning Engineer at Reckonsys Tech Labs for nine months and began his career as a Junior Research Associate at Abzooba.
Education and Expertise
Praneeth Bedapudi earned his Bachelor of Technology (BTech) degree in Computer Science from the Indian Institute of Technology, Guwahati, from 2013 to 2017. His educational background has equipped him with a strong foundation in computer science principles and practices. He specializes in the complete lifecycle of AI projects, from problem statement formulation to deployment and scaling of AI pipelines, with a particular interest in applied AI and conversational AI development.
Background in Deep Learning and Research
Praneeth Bedapudi's background includes significant experience in deep learning and research. His role as a Deep Learning Engineer at Reckonsys Tech Labs involved hands-on work in developing deep learning models. Additionally, during his tenure as a Junior Research Associate at Abzooba, he contributed to research initiatives that laid the groundwork for his future endeavors in AI and machine learning.