Shipping AI into regulated, safety-critical mobile apps is more than “just call an LLM.” In automotive and medical contexts, we must meet strict privacy, latency, and auditability requirements while working with flaky connectivity and device constraints. In this talk, Ronak will share a field-tested architecture for agentic AI on the edge: a hybrid edge–cloud agent that uses tool-calling plugins, a policy engine for pre/post-prompt guardrails, offline fallbacks, and structured telemetry for audits. He will walk through how his team bounds agent behavior with capability cards, redacts PHI/...
Ronak Kosamia
Ronak Kosamia is a Principal Mobile & Cloud Engineer specializing in AI-powered applications for regulated domains. He has led production launches across healthcare, automotive, retail, and banking—spanning HIPAA-compliant patient apps, connected-vehicle experiences, and high-scale enterprise mobile platforms. Ronak works hands-on across Kotlin/Android, Swift/iOS, Kotlin Multiplatform, and cloud backends, with a focus on edge AI, telemetry, and reliability. He has built BLE telemetry pipelines, safety-minded mobile agents, and governance tooling that brings auditability to LLM features. Ronak mentors teams on mobile architecture, MLOps for edge-aware models, and ship-ready guardrails for privacy and safety. His work emphasizes measurable outcomes, clean architectures, and developer ergonomics that accelerate delivery without compromising compliance.