Aruna Jonna is a Lead AI Engineer at KPMG US, specializing in Generative AI, Large Language Models (LLMs), and MLOps. With a strong background in developing and deploying scalable AI/ML solutions, she leverages her expertise in Python, AWS, Azure, and GCP to drive innovation and solve complex business problems for enterprise clients. Aruna holds a Master's degree in Computer Science from the University of Cincinnati and has prior experience as a Systems Engineer at Tata Consultancy Services. She is passionate about the practical applications of cutting-edge AI technologies and actively contributes to the AI community through her work and publications.
Aruna Jonna's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Recognized with the KPMG Ovations Award for exceptional contributions and innovative work in the field of Generative AI and Large Language Models within the firm.
Leads the design, development, and deployment of enterprise-grade Generative AI solutions at KPMG, leveraging LLMs and advanced machine learning techniques to address complex client challenges and deliver significant business value.
Successfully architected and implemented robust MLOps pipelines, enabling efficient, scalable, and reliable deployment and lifecycle management of AI models in production environments across multiple cloud platforms.
Authored multiple articles and technical blogs on practical applications of AI, machine learning, and particularly Generative AI, sharing insights on model fine-tuning, prompt engineering, and operationalizing LLMs, contributing to knowledge dissemination in the AI community.
Gandhi Institute of Technology & Management (GITAM) University, Visakhapatnam - Year 2001
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