About
Subhanshu Mohan Gupta
AI-Driven DevSecOps • Cloud Security Architecture • Distributed Systems Research
Research Focus
I am an infrastructure engineer and independent researcher exploring the convergence of artificial intelligence and large-scale system design.
My work investigates how AI can evolve infrastructure from static and reactive systems into adaptive, failure-aware, and autonomous architectures.
This publication serves as a structured body of research examining:
- AI-native DevSecOps and automated security orchestration
- Resilient cloud architecture and self-healing systems
- Cross-chain and decentralized infrastructure security
- Large-scale distributed system design under adversarial conditions
Architectural Philosophy
Modern infrastructure should not merely scale, it should adapt.
Rather than publishing surface-level tutorials, this research explores how infrastructure systems can become:
- Intelligent through AI-assisted automation
- Resilient through failure-aware engineering
- Secure by design across cloud and decentralized systems
- Evolutionary in architecture rather than incremental
The objective is architectural evolution: designing systems that anticipate, respond and continuously improve.
Current Research Themes
- Autonomous DevSecOps Pipelines
- Cloud Resilience Engineering
- AI-Augmented Threat Mitigation
- Cross-Chain Security & Interoperability
- Distributed Infrastructure at Scale
Explore My Work
Portfolio → https://subhanshumg.com
GitHub → https://github.com/SubhanshuMG
LinkedIn → https://linkedin.com/in/subhanshumg
Technologist.
Exploring the future of AI-native infrastructure security.

