SRINIVAS SANDIRI

SRINIVAS SANDIRISRINIVAS SANDIRISRINIVAS SANDIRI

SRINIVAS SANDIRI

SRINIVAS SANDIRISRINIVAS SANDIRISRINIVAS SANDIRI
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Introduction

My expertise spans enterprise architecture, security, and responsible AI-powered customer experience, applied in high-trust and regulated environments. I design platforms where scalability and intelligence are matched with accountability, lineage, and governance, so the system’s integrity strengthens the customer experience — not limits it.

Trust-by-Design Platform Architecture

I architect platforms where trust is a design constraint, not a compliance afterthought. The foundation is built through layered models, defensible integrations, data lineage, and decision transparency — enabling systems to evolve without losing structural integrity. In this approach, architecture is not a diagram; it is the mechanism by which a platform remains verifiable, adaptable, and audit-ready as it scales.

Zero-Trust Control Plane (ZT-CP)

Security in my work is structural rather than protective. I treat identity, policy enforcement, segmentation, and telemetry as architectural elements — engineered into the platform rather than enforced from the perimeter. This creates systems where security is not a reaction to risk but a property of the design, allowing trust to be demonstrated through evidence rather than inferred from intention.

Responsible AI Experience Framework (RAIX)

AI-driven customer experience must be governed before it is personalized. I design AI-enabled journeys where safety, evaluation, explainability, and fairness are engineered alongside utility. By anchoring intelligence to compliance, traceability, and human oversight, AI becomes an amplifier of trust, not a liability to it — ensuring that automation enhances service without eroding accountability.

Architecture Operating Model (AOM)

My operating model treats architecture as a sustained discipline, not a project phase. Decisions are preserved as reasoning artifacts, governance is embedded into the design lifecycle, and verification is tied to policy and risk. This creates a working model in which architectural intent is preserved over time, even as platforms evolve, scale, or adopt new capabilities such as AI.

Mentorship & Ecosystem Contribution

Alongside practitioner work, I mentor emerging architects, helping them grow beyond implementation thinking into architectural judgment—reasoning about trust, consequences, risk, and defensibility. I contribute to the ecosystem through authorship, speaking, and cross-industry knowledge sharing, helping shape standards for trustworthy digital systems.

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