Kaustubha V
I am Solution Architect at Microsoft
Bengaluru, India
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Kaustubha V is a Solution Architect at [Microsoft](https://www.microsoft.com?utm_source=chatgpt.com) with 14+ years of experience in Cloud Computing, DevOps, AI systems, MLOps, and scalable infrastructure engineering. She is a Kubestronaut and holds 50+ certifications across Azure, AWS, GCP, Kubernetes, and AI technologies, reflecting deep expertise in multi-cloud architecture, cloud-native platforms, automation, and enterprise AI systems.
She has been accepted as a speaker, author, and presenter at several international AI and technology conferences, including ICLR 2026, NeurIPS, ICCV, CODS-COMAD, Grace Hopper Celebration (GHC). Her research and technical work span Generative AI, causal reasoning, Federated Cloud Unlearning, AI infrastructure, creativity benchmarking, responsible AI, and enterprise-scale MLOps systems.
Her recent work includes developing an ML-based compute optimization system for predicting memory requirements in large-scale CAD workloads, enabling more efficient cloud resource utilization and operational decision-making. She actively works on bridging research innovation with production-ready AI deployment for enterprise environments.
Beyond her technical contributions, Kaustubha is a passionate advocate for diversity and inclusion in technology. She serves as a Women Techmakers (WTM) Ambassador and contributor to Microsoft’s “Code Without Barriers” initiative, where she mentors aspiring technologists and supports underrepresented communities in tech.
Her work bridges enterprise-scale engineering with cutting-edge AI research, with a strong focus on practical impact, scalable AI deployment, cloud-native innovation, and inclusive technology leadership.
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Area of Expertise
Digital Marketing Automation with Generative AI: Transforming Campaign Creation and Management
In today’s digital landscape, automating marketing processes is crucial for efficiency and personalization. This session explores how Generative AI (GenAI) can transform digital marketing by automating content creation and campaign management. Attendees will learn how to use GenAI to generate high-quality, personalized marketing materials, optimize strategies, and streamline workflows. We will cover best practices for integrating GenAI into marketing automation, deploying and scaling with cloud technologies and Kubernetes, and review real-world case studies showcasing successful implementations. Gain practical insights on leveraging AI to enhance marketing performance and drive business success.
Enhancing Household Robotics with Agent AI and Reinforcement Learning with Human Feedback
This session explores the integration of Agent AI and Reinforcement Learning (RL) with human feedback to enhance household robots' intelligence and adaptability. Agent AI enables robots to make autonomous decisions, while RL with human feedback ensures they learn and improve based on user interactions and preferences. This combination allows robots to perform complex tasks with greater precision, personalization, and reliability.
Participants will learn how these technologies can be applied to create more intelligent, user-centric household robots that continuously adapt and refine their behavior. The session will cover AI models, training processes, and deployment strategies, focusing on using Kubernetes to manage the scalable, distributed computing resources required. Through real-world examples and live demonstrations, attendees will gain insights into building smarter household robots that not only execute tasks but also learn to perform them more effectively over time.
Kaustubha V
I am Solution Architect at Microsoft
Bengaluru, India
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