Principal Enterprise Architect & Systems Engineering Leader
Enterprise Cloud Modernization & Customer Advisory • AI-Assisted SDLC Platforms • Core Distributed Systems ($350M+ Scale)

Bengaluru, India | LinkedIn | Email

Enterprise cloud modernization and agentic AI are not parallel initiatives — agentic AI makes clean-core modernization mandatory.

An LLM or autonomous agent cannot safely navigate tightly coupled legacy monoliths or inconsistent state machines without catastrophic hallucination and reasoning drift. Autonomous workflows demand deterministic API boundaries, strict idempotency, and contract-first isolation. The E2A / A2C / P0 / G2C stack was engineered specifically to enforce those architectural boundaries.

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My work operates across three complementary dimensions of modern enterprise systems engineering:

┌─────────────────────────────────────────────────────────────────────────────┐
│ 1. CUSTOMER ADVISORY & CLOUD MODERNIZATION                                  │
│    • 150+ Enterprise Accounts: Net-new discovery & clean-core migration     │
│    • Incident Command: 300+ critical escalations de-escalated (99.9% SLO)   │
│    • Financial De-risking: $350M+ transactional volume safeguarded          │
└──────────────────────────────────────┬──────────────────────────────────────┘
                                       │
                    Informs & Validates│Directs Governance
                                       ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ 2. AI-ASSISTED SDLC & DEVEX PLATFORMS                                       │
│    • Context Engineering: P0 (zero-day bootstrap) & G2C (spec compilation   │
│    • Harness Engineering: E2A (Model Context Protocol runtime sandboxing)   │
│    • Eval-Driven Development: A2C (RAGAS faithfulness ≥ 0.85 quality gates) │
└──────────────────────────────────────┬──────────────────────────────────────┘
                                       │
                          Enforces Invariants
                                       ▼
┌─────────────────────────────────────────────────────────────────────────────┐
│ 3. CORE DISTRIBUTED SYSTEMS & PLATFORM INTEGRITY                            │
│    • High-throughput calculation engines (10+ year production lifecycle)    │
│    • 80% runtime reduction (35m → 7m) via asynchronous event pipelines      │
│    • Correct-by-Design: Distributed idempotency, Sagas & outbox guarantees  │
└─────────────────────────────────────────────────────────────────────────────┘

I specialize in systemic thinking and shift-left design: auditing existing and target-state enterprise landscapes to surface latent bottlenecks, model trade-offs, and codify invariants into paved paths that squads can build upon with confidence.

• At the HLD Layer: Defining target topology, cloud interconnects, domain boundaries, NFR governance, and cost-to-serve boundaries.
• At the LLD Layer: Establishing contract-first schemas, class contracts, deterministic state transitions, encapsulation boundaries, and single-entry-point invariants before engineering execution begins.
• In Collaborative Delivery: Partnering with cross-functional engineering teams, domain specialists, and AI tooling inside clearly bounded interface contracts. I maintain end-to-end technical accountability for the delivered outcome — personally authoring core base abstractions, conducting deep architecture reviews, and validating runtime behavior against production invariants.

• 80% Runtime Compression: Re-engineered synchronous monolithic invoice-calculation engines into decoupled, asynchronous event-driven pipelines (35 min → 7 min) across 10,000+ daily freight documents with zero business disruption.
• $350M+ Financial Volume De-risked: Architected distributed idempotency keys, transactional outbox commits, and reverse-compensation Saga orchestrators across 150+ global enterprise accounts, eliminating double-spend and ledger drift.
• Crisis Command & 99.9% Availability: Served as Lead Technical Authority and Incident Commander for 300+ mission-critical customer escalations annually; translating outages into transparent post-mortems and actionable SRE error-budget policies.
• Clean-Core Modernization Precedent: Directed incremental modernization of legacy ERP/settlement cores to modular microservices (SAP RAP) with REST/OData V4 APIs, maintaining 100% operational continuity.

Author of four first-principles developer platform frameworks translating distributed systems rigor into modern AI-assisted engineering:

Validated reference implementations stress-testing framework invariants against realistic workloads:

• Order-to-Cash Agentic Platform: 5-agent orchestration prototype (Python, FastAPI, LangGraph, Bedrock/Vertex AI, Terraform) featuring dynamic intent routing and codebase RAG; benchmarked with RAGAS faithfulness thresholds (≥ 0.85).
• Cloud-Native Financial Settlement Platform: High-concurrency Java 21 / Spring Boot 3.x / Kafka runtime with a 7-state reverse-compensation Saga orchestrator and Redis-backed idempotency under split-brain simulations.
• Serverless Payment Reconciliation Engine: Event-driven serverless pipeline on AWS Lambda, SQS FIFO, and DynamoDB conditional writes validating two-layer distributed idempotency.

Idempotency, reconciliation, and auditability are business capabilities, not after-the-fact defensive patches.

The E2A/A2C class hierarchy maps isomorphically onto cloud-native infrastructure concepts:

Targeting Principal Customer Solutions Architect, AI-Assisted SDLC Platform Architect, and Staff/Principal Distributed Systems roles at hyperscale technology organizations.