SOVEREIGN FLEET ACTIVE · 18ms EDGE LATENCY

I Design Infrastructure AI Agents Run On.

Governed, sovereign, and economical. Built on 20 years of first-principles systems work—from hospital data centers and BGP routing tables to Azure landing zones and multi-agent fleets.

Enterprise AI is not a prompt engineering challenge; it is a distributed systems engineering challenge. The failure modes of autonomous agents—unbounded loops, cascading rate limits, and unbudgeted token burn—are the exact problems physical networking solved decades ago.

🛡️Agentic Infrastructure Architect

⚡Director, Cloud & Infra

📍Delhi/NCR, IN

📜/llms.txt·/resume.json

$47k/mo

Cloud Spend Contained →

45+ Subs

Azure BGP Landing Zones →

99.94% SLA

Agentic Circuit Breakers →

16-Node Fleet

Talos K8s & Bare-Metal →

Explore Case Studies →Flagship Essay: State of Agentic Infra ’26 →Origin Arc (First Principles) →

SYS.TELEMETRY

LIVE_2.4.0

ROLE:Director — Cloud & AI

ENTERPRISE SCALE:45+ AZURE SUBS

FINOPS PR GATE:$47K/MO PREVENTED

AGENT LOOPS:0 RUNAWAY IN PROD

HYBRID P95 LATENCY:18ms (BGP STEERED)

Cloudflare Edge & Vector RAG Engine

COGNITIVE_STACK|Edge Topology

NOC: CONVERGED

💻

Client Node (Visitor)POP Latency: --

🛡️

Cloudflare CDN & WAFTurnstile Shield Active

⚡

Astro SSR Worker RouterServerless Edge Handler

💾

D1 Vector Store & KV Cache93 Embeddings Chunks

🧠

Workers AI Gateway RouterCascading Circuit Breaker

ARCH.SIMULATOR|Interactive Sandbox

SYSTEM: OPTIMAL

Est. Latency

145 ms

Resilience

99%

Cost / 1k Ops

$0.002

EXECUTION TRACE LOG5/5 Nodes Active

> System initialized. All cognitive guardrails active.

> Query received -> Vector RAG context attached (+1024 tokens)

> DFW Guardrail: 0 prompt injection patterns detected

AI ENGINE ACTIVE

ONLINE

Virtual Sachin Digital Twin

A custom edge-native conversational agent grounded in my 20-year infrastructure history. Trained on 125 war stories and verified certifications via low-latency Vector RAG memory.

ENDPOINT:Workers AI

P99 LATENCY:<42ms

EDGE POP:DEV

RANGE TO BASE:-- km

> Checking routing POP...

> Waiting for edge metadata

Selected Case Studies & Outcomes

Real-world production engineering outcomes.

View All →

Sovereign Datacenter Fleet & Autonomous Agent Platform: 16-Node Bare-Metal & Talos K8s Control Plane

Director — Cloud & Infrastructure Architecture & Principal Agentic AI Architect

Architected a 16-node bare-metal & Proxmox/Talos Kubernetes datacenter fleet powering autonomous multi-agent runtimes, OpenTelemetry causal tracing with Arize Phoenix, and deterministic pre-execution DLP guardrails.

Agentic AIKubernetesTalos

Edge-Native Digital Twin Portfolio Engine: Cloudflare Workers AI, Vectorize RAG & D1

Director — Cloud & Infrastructure Architecture & Principal Agentic AI Architect

Architected a zero-cold-start, serverless cognitive platform on Cloudflare Workers AI, Vectorize, D1 SQLite, and WebGPU—delivering sub-40ms global TTFB, stateful LLM failover, and $0/month idle infrastructure cost.

Agentic AICloudflare PagesWorkers AI

Governing Autonomous Agent Swarms with Edge Circuit Breakers

Principal Agentic AI Architect

Preventing Token Cascades, Thermal Runaways, and Tool-Call Blast Radiuses at the Infrastructure Boundary.

Agentic AICircuit BreakerEdge AI

Agentic AI Infrastructure Platform: Autonomous Multi-Agent Orchestration

Director — Cloud & Infrastructure Architecture & Principal Agentic AI Architect

Architected a resilient multi-agent orchestration platform for global enterprise clients, combining Workers AI edge runtimes, stateful Circuit Breakers, D1 RAG vector memory, and strict Capability Attenuation.

Agentic AIResilienceWorkers AI

Every project details the exact "Why", "How", and the post-mortem telemetry.

Cloudflare D1: Guestbook|Edge Ledger

Initialising connection...