Priya leads AI and ML engineering at Wolk Inc, working with enterprise clients to ship machine learning systems that are reliable enough to run in production and measurable enough to justify the investment. She joined in 2023 after years in enterprise data engineering and applied ML.

Her work spans the full ML lifecycle: data pipeline architecture, feature stores, model training infrastructure, MLOps tooling, monitoring, and inference systems. For clients building LLM-based applications, she designs RAG systems grounded in proprietary client data to reduce hallucination and improve auditability.

Her writing reflects what she sees on real engagements — what actually breaks when you deploy a model, what the ROI conversation looks like when a CFO asks hard questions about the AI budget, and what separates a demo from something an operations team will trust at 2am.