I Don't Demo AI. I Deploy It.

18 years of data centers, BGP routing tables, and zero-downtime platforms — now applied to production-grade Agentic AI. I build complete products from scratch using AI as my engineering team. Not prototypes. Not demos. Products that ship.

🤖Agentic AI Architect
20 Yrs Infra → AI Systems
🚀10 Products Shipped Solo with AI
📍Delhi/NCR, IN · Associate Director
SYS.TELEMETRY
LIVE_2.4.0
ROLE:Associate Director
RAG KNOWLEDGE:135 ENTRIES (124 POSTS)
RAG LATENCY:< 42ms EDGE
VM MIGRATIONS:500+ COMPLETED
DATACENTERS:2 BUILT FROM DUST
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 124 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
Cloudflare D1: Guestbook|Edge Ledger
Initialising connection...
EDGE_MAP|CDN Propagation
POP: TRACING...
Base Station: Noida (IN)
CDN CONNECTION METADATATrace Offline
> Waiting for edge synchronization signal...
AI Gateway
default

Semantic Cache Hit Rate

%

Total Requests

last 24h

Cache Hits

zero-cost responses

Avg Latency

ms end-to-end

Cost Saved

USD (cache)
Model:loading...
CDN EDGE TELEMETRY● LIVE_STREAM
P50 Lat24.5ms
P99 Lat48.2ms
Brotli74.2%
Edge NOC Status
View Telemetry →
EDGE HITS (KV)--
LLM BREAKERCLOSED
AI NEURONS--

Real-time platform status monitoring and event streaming at the edge nodes.

ON-DEVICE AI
WEBGPU

Browser AI Inference Lab

Run quantized language models (SmolLM2) locally in your browser. Bypasses edge server limits and guarantees 100% user privacy.

BACKEND:Local GPU / WASM
RUNTIME:Transformers.js
WEIGHTS:~80MB (Cached)
SERVER COST:₹0.00 / Zero
🧠 Run Local LLM →
Availability Signal · Real-Time
Open to Conversations
Start a Conversation →
Role
Principal / AD (IC or Mgmt)
Engagement
Full-time · Advisory · Fractional CTO
Location
Remote / Hybrid, Delhi NCR
Focus Areas
Agentic AI · Cloud Arch · DevSecOps
Guestbook · What Engineers Say
SDN / NSX★★★★★

"The NSX-T micro-segmentation war story saved me 2 weeks of trial and error. Read it before you touch DFW enforcement."

K
k8s-wrench
Platform Engineer
Azure / Cloud★★★★★

"Landing Zone hub-spoke BGP steering article is the most technically accurate free resource I've found on ExpressRoute route steering. Bookmarked."

A
azure-pilgrim
Cloud Architect
Agentic AI★★★★★

"Circuit breaker patterns for LLM runtimes — exactly what I needed when my inference cluster was getting hammered at 3 AM. Practical, not hype."

M
ml-on-metal
ML Infrastructure Lead
⚡ Theme Adaptive Shift
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