Enterprise AI Architecture
Designing reusable platforms that connect generative AI with enterprise knowledge, structured data, and business workflows.
About
Building the systems around intelligent models.
Enterprise AI architecture, evaluation, agentic systems, and the engineering foundations required to operate them reliably.
I'm Vinay Prasanth Kamma, a Senior Machine Learning Engineer at Workday based in Dublin, California.
I have 10 years of experience across machine learning, data engineering, analytics, and applied AI. My current work focuses on designing and delivering enterprise AI platforms, evaluation frameworks, agentic systems, and cloud-scale ML capabilities.
I'm particularly interested in the systems around the model—the evaluation harnesses, orchestration layers, security controls, feedback loops, and cloud infrastructure that determine whether an AI application remains reliable after the demo.
My work combines hands-on engineering with architecture and cross-functional technical leadership. I enjoy turning ambiguous business needs into practical system designs and guiding initiatives from early discovery through production adoption.
Current focus
From promising models to dependable AI systems.
Evaluation and LLMOps
Building systems for continuous quality, safety, groundedness, bias, toxicity, and production-behavior evaluation.
Agentic Systems
Developing modular agent architectures around skills, tools, memory, orchestration, interoperability, and secure execution.
Cloud ML Platforms
Building scalable foundations for experimentation, data pipelines, model serving, monitoring, and governance.