Praveen Kumar Bodigutla

About Praveen Kumar Bodigutla

As a Principal Staff Applied GenAI Researcher at LinkedIn, I lead strategic initiatives in Reinforcement Learning for Search, NLP, and Recommendation Systems. With over many years of experience in machine learning research and development, I have a proven track record of delivering innovative solutions that enhance user experience and drive business growth.My expertise spans across full-cycle Generative AI research and development, large-scale distributed training platform development, and multi-modal conversation quality estimation. I have successfully managed teams of applied scientists and collaborated with cross-functional stakeholders to bring cutting-edge AI technologies to market. My passion lies in applying data sciences and financial mathematics to solve complex problems and create value for users and organizations. My core competencies include reinforcement learning, generative AI, NLP, and multimodal conversation quality estimation. In my previous role as a Machine Learning Scientist at Amazon, I led the research on multimodal conversation quality estimation in the Alexa Conversation AI group, building scalable and domain-independent models to facilitate dialog research. I also managed a team of applied scientists, and contributed to several publications in top-tier conferences and journals. I leveraged my skills in machine learning, data mining, and data science, as well as my background in financial mathematics and data sciences from Stanford University and New York University, to deliver innovative and robust solutions in my previous role as a Vice President Tech Quant at Credit Suisse and as senior applied researcher in Amazon and LinkedIn.

Experience

1. Principal Staff Applied Genai Researcher

   Linkedin

   Mar 2024 — Present · Sunnyvale, CA, US

Education

• Stanford University

  Master's degree, Financial Mathematics

• Birla Institute of Technology and Science, Pilani

  Integrated Msc, Economics and BE Computer Science

  2001 — 2006

• Stanford University

  Masters, Financial Mathematics; Math Finance

  2008 — 2010

• New York University

  Master's degree, Data Sciences

  2013 — 2016

• Stanford University

  Master of Science - MS, Financial Mathematics