Navneet Kumar Tyagi

AI-Native APIs: Enabling Smarter Cloud Architecture

Abstract:

APIs interacting with dynamic systems must evolve from fixed contracts to adaptive decision layers. AI‑native APIs (edge inference, learning middleware, self‑tuning contracts and predictive observability) deliver that evolution. Governance makes it safe with decision explainability, versioning, cross‑team alignment, guardrails, and operationalized forecasting. These patterns and practices let teams take advantage of autonomy without sacrificing reliability, cost control or trust.

Profile:

Navneet Kumar Tyagi is a seasoned IT professional with over 18 years of experience in software architecture, data engineering, and cloud-native development. He has contributed to technology solutions across the healthcare, energy, and finance sectors, with a strong focus on scalable system design and enterprise data platforms. Navneet specializes in building modern data ecosystems using AWS services. As a Senior Sw Engg/Technical Architect, Navneet brings deep expertise in full-stack development, system integration, and governance-focused data solutions. He is passionate about enabling intelligent data sharing and has led initiatives that transformed legacy data workflows into secure, high-performing analytics platforms. When he is not architecting cloud solutions, Navneet enjoys mentoring emerging developers and exploring advancements in AI-driven data engineering. He is currently working with Finance of America and part of the Enterprise Integration team working on the latest AWS services integration with the company's financial products. Navneet is a senior member of IEEE , frequent speaker and research paper reviewer