Amit Tyagi

About

Amit Tyagi is an AI systems architect and technology leader specializing in enterprise AI platforms, responsible AI governance, and applied machine learning. His work focuses on designing cloud-native AI architectures and building production-ready systems that integrate intelligent automation into real-world enterprise data and digital platforms.

Alongside his industry work, he conducts independent research on agentic AI systems and intelligent learning architectures. His research explores how multi-agent AI systems can enable safe, personalized, and scalable learning experiences through evidence-driven evaluation frameworks. He is also pursuing the Chartered Market Technician (CMT) program to deepen his understanding of financial market behavior and data-driven market intelligence. .

Featured Work

• AI Learning Content Framework — structured course content + architecture patterns for AI-assisted learning systems. (repo)
• Research: Evaluation Framework for Agentic AI Learning Systems — reliability, safety, and personalization metrics for multi-agent educational architectures.
• Sector Rotation Analytics (in progress) — systematic research program for rotation signals and portfolio performance comparison vs buy-and-hold.

Skills

Writing & Publications

• Dev.to — AI architecture and system design notes. (profile)
• Research publication — Agentic AI Learning Architectures: Evidence-Driven Personalization and Safety-Governed Educational Systems (SSRN, 2026).

Research

Agentic AI Learning Architectures

Agentic AI Learning Architectures: Evidence-Driven Personalization and Safety-Governed Educational Systems
Amit Tyagi
Published on SSRN (2026)

This research explores architectural patterns for building agentic AI learning systems that combine evidence-driven personalization with safety-governed educational frameworks.

Read the paper on SSRN

Contact

Email: amittyagi@aihindi-tutor.com
GitHub: github.com/amittyagi08
LinkedIn: linkedin.com/in/amit-tyagi-96675360/