Sonakshi Pandey explains why reliable agent systems need observability, repeatable evaluation, security, and a disciplined way to improve performance with MLflow.
About Sonakshi Pandey
Sonakshi Pandey is a Senior Solutions Architect at Databricks, where she is passionate about helping digital natives build robust, scalable data and agentic AI applications. Drawing on her extensive background in cloud data analytics, including previous roles at Amazon and Google, she guides organizations through the complexities of modern machine learning lifecycles. Beyond her daily architectural work, Sonakshi is a dedicated technology content creator, actively sharing career guidance and tech insights with her community. When she is not designing AI solutions, she embraces her creative side as a beauty enthusiast and an avid home gardener in the greater Seattle area. She expertly juggles cultivating her outdoor raised beds and maintaining her indoor hydroponic herb setup.
What motivated you to join the AI Builders Global Conference?
I am absolutely thrilled to speak at this year's conference! I have been a proud member of the WomenTech Network for over three years, and I truly value both speaking at and attending these events. My primary motivation for joining this community was to connect with like-minded women in tech, share industry insights, and build genuine friendships. It is a wonderfully supportive space that continually inspires me.
What shaped your journey through technology and AI?
My journey into tech began with a childhood passion for computers. It was the one subject in school I truly loved and always looked forward to. What started as a fascinating hobby naturally evolved into a dedicated academic pursuit, leading me to earn my Bachelor's and Master's degrees in Computer Science. That foundational love for problem-solving laid the groundwork for my entire career, ultimately shaping my path into AI and my current role as a Senior Solutions Architect.
Why does observability for AI agents matter now?
With the rapid adoption of autonomous agents in today's AI landscape, ensuring they operate reliably and safely is critical. We need robust visibility to track performance, iterate effectively, and maintain security for all users. Observability is the cornerstone of responsible and scalable AI deployment, which is exactly why I decided to highlight how frameworks like MLflow can help teams successfully monitor and optimize their AI agents.
Who should attend the AI Builders Global Conference?
I highly recommend this conference to anyone passionate about artificial intelligence, whether you are just starting to build your career in the field or are already an established professional. Attendees will gain immense value from the diverse, insightful talks and the opportunity to connect with peers. If you are an AI enthusiast or expert looking to stay ahead of the curve and expand your network, this is the place to be.