11 PRODUCTS Β· ALL LIVE IN PRODUCTION Β· BUILT WITH AI

The AI Product Lab

Every product below was built solo using Agentic AI as my engineering team. No traditional dev team. No boilerplate agencies. Just architecture taste, domain expertise, and AI execution velocity.

10
Products in Production
110+
War Stories Published
100k+
Daily AI Agent Loops
<42ms
Edge AI Latency (P99)
01.
Portfolio Β· Live
Production Β· Cloudflare Pages

VirtualSach.in

This very portfolio β€” built end-to-end with Agentic AI as co-pilot.

Live β†—

A fully interactive personal portfolio built with Astro v5, Cloudflare Workers AI, and D1 database. Every component β€” from the Terminal CLI modal to the Tech Radar and Post-Mortem Simulator β€” was designed and implemented using AI. Not generated. Architected.

110
War Stories
10
Lab Tools
30
API Endpoints
Astro v5Cloudflare Workers AID1 DatabaseTypeScriptTailwind v4Gemini 2.0
AI Role: Full engineering team β€” research, code, review, test, deploy. All 124 articles, 12 interactive components, and the entire Cloudflare deployment pipeline were built in a single extended AI-paired session.
Architecture
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ VIRTUALSACH.IN Β· Cloudflare Pages CDN β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ Astro v5 SSG + Tailwind CSS v4 β”‚
β”‚ 12 Interactive Components Β· View Transitions β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ Workers AI Edge β”‚ D1 Database (SQLite) β”‚
β”‚ Llama 3.1 8B β”‚ Guestbook Β· RAG Chunks β”‚
β”‚ <42ms P99 β”‚ 93 Knowledge Entries β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ GitHub Actions CI/CD β†’ Cloudflare Deploy Hook β”‚
β”‚ DPDP Act 2023 Compliant Β· HSTS Β· RSS β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
Workers AI Response
38ms avg
D1 Read Latency
2ms avg
Cloudflare Edge PoPs
310+ global
02.
Enterprise AI Platform Β· Live
Multi-Agent Architecture
[Enterprise Goal]
β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Supervisor Router β”‚
β”‚ Gemini 2.0 Flash β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Capability Attenuation Gate β”‚
β”‚ Scoped Tool Tokens Per Agent β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚ β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Research Agent β”‚ β”‚ Execution Agent β”‚
β”‚ Read-Only β”‚ β”‚ Isolated Sandbox β”‚
β”‚ RAG Grounded β”‚ β”‚ CB Protected β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚ β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Stateful Circuit Breaker Β· D1 Vector β”‚
β”‚ CLOSED β†’ OPEN β†’ HALF_OPEN state FSM β”‚
β”‚ Ollama / Gemini Flash Fallback Chain β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
Circuit Breaker State
CLOSED (Healthy)
Daily Agent Loops
100,000+
Token Cost Reduction
65% saved
Enterprise Platform Β· Cloud & AI

Agentic AI Platform

Multi-agent orchestration with production-grade reliability engineering.

Case Study β†—

The platform that runs 100,000+ autonomous AI agent loops daily for enterprise financial clients. Built with stateful Circuit Breakers (borrowed from data center thermal runaway patterns), Capability Attenuation (borrowed from DFW microsegmentation), and BGP-inspired token cost routing.

99.99%
Uptime SLA
$180k
Tokens Saved/yr
0
Injection Breaches
Cloudflare Workers AIGemini 2.0Llama 3.1 70BD1 Vector StoreCircuit BreakersMCP Protocol
Origin Pattern: Stateful Circuit Breakers were inspired by 2012 data center thermal runaway incidents at Net4 India β€” the same principle that trips industrial cooling units now trips LLM API cascades before they burn $2,500 in tokens.
03.
Digital Twin Β· Live on Edge
Edge AI Β· Cloudflare Workers AI

Virtual Sachin Digital Twin

A RAG-grounded conversational AI clone deployed at the edge.

Try It β†—

Not a chatbot. A production-grade AI system that embodies 18 years of infrastructure knowledge through a Vector RAG retrieval engine. Every response is grounded in real war stories, real case studies, and real architectural decisions β€” cited with direct blog post links.

93
RAG Entries
<42ms
Edge Latency
8
Career Eras
Llama 3.1 8B InstructVector RAGD1 SQLiteKeyword ScoringCitation EngineCloudflare Edge
Benchmark: 5/5 RAG retrieval tests passed β€” accurately cites MTU mismatches, BFD failover, FinOps guardrails, circuit breakers, and career evolution with correct/blog/ URL citations.
RAG Pipeline Architecture
[User Query] β†’ /api/chat.ts (Workers AI)
β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ retrieveRAGContext() β”‚
β”‚ 93 Knowledge Chunks β”‚
β”‚ Keyword + Token Scoreβ”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚ Top-2 Chunks
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Context Assembly β”‚
β”‚ System Prompt + β”‚
β”‚ War Story Grounding β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Llama 3.1 8B Instruct β”‚
β”‚ @cf/meta Β· Edge PoP β”‚
β”‚ <42ms P99 β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
β”‚
[Response] + Source Citations
MTU mismatches / Geneveβœ“ Cited correctly
Azure FinOps guardrailsβœ“ Cited correctly
BFD sub-second failoverβœ“ Cited correctly
Agentic circuit breakersβœ“ Cited correctly
20-year career evolutionβœ“ Cited correctly
04.
Brand Intelligence Β· Private (Tier 2)
Brand Intelligence Pipeline
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Tier 2: Social Brand Manager β”‚
β”‚ Private GitHub Β· No πŸ”΄ PRIVATE Data β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ Brand Strategy Engine β”‚
β”‚ Β· Career Timeline (8 Eras) β”‚
β”‚ Β· Content Calendar β”‚
β”‚ Β· Opportunity Evaluation Matrix β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ AI Content Generation β”‚
β”‚ Β· LinkedIn War Story Drafts β”‚
β”‚ Β· Technical Blog Posts β”‚
β”‚ Β· Anonymised Case Studies β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ 3-Tier Architecture Enforced β”‚
β”‚ Tier 1 Portfolio ← Tier 2 Engine β”‚
β”‚ Tier 3 Vault (air-gapped, local) β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
Content Pieces Generated
200+
Security Classification
3-Tier Enforced
Agent Rules Active
6 Rule Files
Brand Intelligence Β· Private Repo

Social Brand Manager

The AI-powered brand intelligence engine that runs the strategy behind this portfolio.

Private

A private AI-driven system for managing personal brand strategy, content calendars, career timeline documentation, and opportunity evaluation. Built on a strict 3-Tier Architecture: Portfolio (public), Brand Engine (private), Identity Vault (air-gapped local). AI agents operate within defined capability boundaries β€” no personal data crosses tier boundaries.

200+
Content Pieces
3-Tier
Security Model
6
Agent Rules
Antigravity 2.0Gemini 2.0 ProAgent Rules Engine3-Tier ArchitectureBrand StrategyContent Calendar
Key Design: AI agents in this system operate under strict Capability Attenuation β€” the same pattern from the Enterprise Platform. Brand agents can read career history and generate content drafts, but cannot access Tier 3 identity vault data. Security boundaries are architectural, not advisory.
πŸ§ͺ

RAG Automated Evaluation Harness

SOTA Validation Suite

Evaluate the retrieval accuracy, latency, and node precision of the Digital Twin's Vector RAG engine in real time. Clicking the run button executes 7 distinct scenario queries directly against our edge indexing schema, testing for correct semantic keywords and URL resolving.

πŸ•ΈοΈ Launch Vector ExplorerπŸ“ Launch Architecture Sandbox
05.
Diagnostics Suite Β· Live
Production Β· NetOps Toolbox

NetOps & Infrastructure Diagnostics Suite

Interactive network, security, and facility thermodynamics planners.

Open Toolbox →

A comprehensive utility bundle built directly on the portfolio edge infrastructure. Contains four dynamic tools: a BGP path selection policy simulator, a Tier-3 Data Center PAC cooling planner, a stateful Zero-Trust distributed firewall engine, and a cloud Transit Gateway hub topology sizer.

4
Calculators
SVG
Dynamic UI
IaC
HCL Output
BGP SimulatorData Center PACDFW FirewallTransit GatewayTerraform HCLAstro v5
Diagnostics Architecture
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ NETOPS & INFRASTRUCTURE DIAGNOSTIC CONSOLE β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ 1. BGP Simulator Β· Link-state path logic β”‚
β”‚ 2. DC PAC Planner Β· BTU cooling & density β”‚
β”‚ 3. DFW Firewall Β· Zero-Trust compliance β”‚
β”‚ 4. Transit Sizer Β· Star route limits β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ Terraform HCL + Cisco Route-Map Auto-Gen β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Interact with routing attributes, cabinet thermodynamics, and firewall rules in real-time, matching standard enterprise best practices and your professional engineering timeline.

06.
Outage Simulator Β· Live
Production Β· Operations Console

Incident Command Simulator

Interactive outage scenario diagnostic and decision tool.

Open Simulator →

Test your engineering intuition in resolving critical enterprise downtime scenarios. Models MTU mismatches across vDS overlay switches, route leakage on dual-homed transit VLAN boundaries, and DNS resolution validation failures in NSX-T Federation synchronization.

3
Scenarios
Real
Root Causes
<5m
Target SLA
Geneve MismatchBGP Route LeakReverse PTR DNSTLS HandshakePost-Mortem Analysis
Operations Console
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ SEVERITY-1 INCIDENT WAR ROOM CONSOLE β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ SCENARIO 1: Geneve MTU Packet Drop β”‚
β”‚ SCENARIO 2: Transit VLAN Route Leakage β”‚
β”‚ SCENARIO 3: NSX Federation DNS Failure β”‚
β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€
β”‚ TELEMETRY DIAGNOSTICS &SLA RECOVERY TIME β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Test your ability to diagnose network anomalies under pressure. Evaluates packet headers, routing maps, and DNS records to find the structural root cause of outages.

07.
RAG & Inference Β· Live
AI Inference Β· RAG Critique

AI Resume Fit Score

Live Tool

Paste any job description and let the AI Twin execute a real-time semantic analysis against Sachin's 20-year infrastructure and networking career. Employs keyword tokenization mapped to 10 distinct career domains, RAG evidence grounding, and Workers AI Llama models to generate a dynamic fit score and a tailored cover letter introduction.

10
Grounded Domains
Llama 3.1
Workers AI Model
< 3.5s
RAG Analysis
Workers AILlama 3.1-8BRAG GroundingSemantic MatchingGap AnalysisCover Letter Gen
Fit Critique Simulator Preview
ANALYZING JOB_DESCRIPTION.TXT● PROCESS_COMPLETE
92%
EXCEPTIONAL FIT
Matched: Agentic AI, Azure Architecture, DevSecOps
TAILORED COVER INTRO:
"I've spent 18 years building the exact systems this role demands. Most recently as Associate Director of Cloud Strategy, I led cloud-scale migrations..."

Provides recruiters and hiring managers with a transparent, honest, and evidence-grounded comparison of requirements versus actual production career accomplishments.

Phase 3 Β· Live

Extended Tool Suite

Several additional production-grade tools built alongside the core platform β€” from gamified incident war rooms to an AI Digital Twin showreel.

πŸ€–
AI Digital Twin
Interactive Showreel

Sub-40ms edge inference on Llama 3.1-8B-Instruct with D1 RAG vector memory indexing 112 war stories. 2-way voice mode via Whisper ASR.

Workers AID1 RAGVoiceSSE Stream
🧠
Browser AI Lab
Edge Inference LLM

Quantized SmolLM2-135M running 100% locally in your browser. Benchmarked WebGPU matrix operations with WASM fallback for zero-cost edge execution.

WebGPUONNX WebWASM FallbackClient AI
🚨
3AM Incident Commander
Gamified Post-Mortem

6 real-world outage scenarios (ExpressRoute BGP loop, KV stampede, GENEVE MTU drop, NSX Federation sync). Guided RCA with timeline scoring.

6 ScenariosScored RCALive
πŸ•ΈοΈ
Multi-Agent Simulator
Agentic Pipeline Visualizer

Visualize orchestrator β†’ worker agent pipelines with stateful circuit breaker state machines. Real-time message routing and failure injection.

Circuit BreakersDAG VizLive
πŸ’°
Executive ROI Calculator
AI Infra Business Case Builder

Build CFO-ready Agentic AI business cases. Input team size, incident frequency, and automation targets to model 3-year NPV and payback period.

NPV ModelDownloadable PDFLive
⚑
Edge Latency Profiler
Multi-Region AI Benchmark

Live benchmark comparing edge inference (Workers AI) vs origin API latency across 5 Cloudflare PoPs. P50/P95/P99 breakdown with real SSE streaming.

Workers AIReal DataLive SSE
πŸ’»
Hacker Terminal
Interactive CLI Environment

Browser-native terminal with custom commands: `blog list`, `rag search <q>`, `whoami`, and `deploy status`. 20+ supported commands.

RAG SearchCustom CLILive
⚑ Theme Adaptive Shift
Switching layouts matching domain reading affinity...