ENGAGE · TEAM

Rohit Varshney

Rohit Varshney

Principal · AI Native Infrastructure and Operations

Experience16+ years

LinkedIn

Rohit is Bugni Labs' Principal for AI Native Infrastructure and Operations, the substrate systems actually run on. He operates as both architect and hands-on engineer: designing GCP-native infrastructure that is event-driven, DevSecOps-hardened, and observable from first commit, and building it with the CI/CD, infrastructure-as-code, and SRE discipline production demands, now extending that same rigour into agentic AI automation built with Python and the Anthropic SDK. 16+ years of engineering, including multi-year delivery at a UK Tier-1 banking group across Cloud CoE, PSD2 and Open Banking Lab, and commercial-onboarding platforms, plus SRE leadership in global platform operations at scale.

  • Cloud-native GCP infrastructure architecture (GKE, event-driven systems)
  • DevSecOps and security posture for regulated financial workloads
  • SRE, observability and production operations at scale
  • Agentic AI automation: internal-facing agents built with Python and the Anthropic SDK
  • Early, hands-on exposure to GCP AI/ML platform tooling (Vertex AI), building toward a broader agentic-AI infrastructure practice

What Rohit writes about

How regulated systems get shipped and kept running. The recurring threads are GitOps change control, re-engineering CI/CD, observability treated as a compliance instrument rather than a dashboard, and what DORA and SPACE really measure. Several pieces cover putting AI inside a regulated delivery pipeline without loosening control.

9 pieces · 1 Perspective · 5 Field Notes · 3 Guides

GuideSept 2026 · 14 min read

How Do Banks Make AI Deployments Reversible and Auditable?

Decision ledger, policy-at-intent, stress-exit, human gate design and progressive delivery: the mechanisms that give a bank evidence and a way back.

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GuideSept 2026 · 10 min read

How do you govern infrastructure as code in a regulated environment with strict audit requirements?

How to govern infrastructure as code when AI agents generate and apply changes: intent gates, version-controlled policy and continuous audit evidence.

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Field NoteSept 2026 · 11 min read

Put the Guardrail in the Validator, Not the Prompt

A mid-market UK wealth manager wanted an assistant to triage its shared operations inbox, not a model it had to trust with judgement calls. The build that stuck

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Field NoteMay 2026 · 3 min read

AI Code Review in Regulated CI/CD

AI code review became useful only after we made it policy-aware, evidence-led, and subordinate to human ownership.

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GuideMay 2026 · 14 min read

Observability as a Compliance Tool for Banking

Observability as a compliance tool: how SRE in regulated financial services satisfies DORA, supports audit, and shortens incident reconstruction. Plus FAQ.

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PerspectiveApr 2026 · 5 min read

DORA Metrics Explained: SPACE & Productivity

Developer productivity has become a polite name for the metric a CIO is allowed to ask about. DORA and SPACE are useful, but only after the harder conversation has been had: whether the work the team is measuring is the right work, and whether the velocity it is chasing buys back the audit cost it generates.

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Field NoteMar 2026 · 3 min read

GitOps in Regulated Environments: Change Control Without Delay

GitOps can satisfy regulated change control when every environment change is reviewed, replayable, policy-checked, and reversible.

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Field NoteDec 2025 · 8 min read

10 Days to Hours: Screening Platform

Discover how a major UK bank's screening platform leveraged AI governance in financial services to reduce commercial customer onboarding from 10 days to under 12 hours, with vendor-agnostic architecture and zero unplanned incidents.

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Field NoteDec 2025 · 9 min read

Build Once, Deploy Everywhere: Re-Engineering CI/CD

Re-engineering CI/CD for a regulated UK bank's 25+ microservice platform: parallel deploys, immutable artefacts, Helm, GitOps, fix-forward branching.

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