A panel discussion on the real-world challenges and breakthroughs in bringing AI and ML to production, featuring Suneeta Mall (Head of AI Engineering, Harrison.ai), Somy Ayazi (Senior Software Engineer at Atlassian), and Kanishka Mohaia (AI/ML Specialist).
Join industry leaders as they discuss the practical challenges of deploying AI and ML systems in production environments. This panel will explore topics including MLOps best practices, scaling AI solutions, governance and compliance, and lessons learned from real-world implementations.
Head of AI Engineering at Harrison.ai
As Head of AI Engineering at Harrison.ai, Suneeta leads teams developing breakthrough AI solutions that transform healthcare delivery across radiology and pathology. She is the author of 'Deep Learning at Scale' (O'Reilly), and has a track record of deploying AI systems serving millions of patients worldwide. Suneeta is passionate about technical excellence, responsible innovation, and building diverse teams.
Senior Software Engineer at Atlassian | Microsoft MVP
Somy Ayazi is a Senior Software Engineer at Atlassian and Microsoft MVP with over 13 years of experience in software engineering and team leadership. She currently leads engineering teams focused on AI and machine learning solutions, including the JSM Virtual Agent project. Previously, she held leadership roles at Telstra Purple and Kloud Solutions, where she specialized in Azure solutions, SharePoint integration, and cross-functional team building. Somy is passionate about AI and community building, serving as co-host of The Global AI Podcast and co-organizer of the APAC AI Community User Group. She holds a Master's degree in IT Management from the University of Sydney and is certified in Microsoft Azure AI Fundamentals and Power Platform. With expertise spanning from .NET development to cloud-native solutions, Somy brings a unique perspective on how AI is transforming workplace collaboration and productivity.
AI/ML Specialist
Kanishka Mohaia is an AI/ML specialist with expertise in machine learning and artificial intelligence applications. Details to be updated.