Building the future with Agentic Swarms, Loop Engineering, Agentic AI, Enterprise Cloud, and Intelligent Automation
AI-first Director of Technical Architecture with 18+ years of enterprise IT experience. I'm a hands-on builder — I architect agentic swarms, orchestrate multi-agent broker networks, and do loop engineering across every major AI system.
Master across every major AI platform — Claude, GPT, Gemini, Bedrock, Azure AI, and Agentforce. I don't just use them; I wire them together. I build MCP servers, A2A-connected agents, RAG pipelines, and autonomous plan → act → verify → self-correct agent loops that ship real work.
I also build Slack Enterprise Grid apps end-to-end — from Socket-Mode bots to org-wide workflow automation. A relentless vibe coder who leads architecture and developer teams while staying in the code every day, turning frontier AI into production systems that replace expensive enterprise software.
"Strategic architect who codes, builds, and deploys. I bridge executive vision with hands-on technical execution — from AI agent architecture to production deployment.
Deep expertise across the complete Salesforce platform including Field Service Lightning, Service Cloud, Data Cloud, Agentforce, and custom platform development.
Industry-leading FSM expertise across ClickSoftware, Salesforce FSL, IFS, and ServiceMax platforms.
Multi-cloud expertise spanning AWS, Azure, and cloud-native development patterns.
Hands-on builder of production AI systems — multi-agent platforms, MCP servers, RAG pipelines, and AI-powered automation tools.
Strategic solution design, system integration patterns, and API-first architectures.
Building high-performing teams, mentoring architects, and driving delivery excellence.
Master of every major AI platform — architecting agentic swarms, engineering agent loops, and shipping production systems from infrastructure to autonomous agents
Architecting autonomous multi-agent swarms and broker networks with cutting-edge protocols
Enterprise-scale AI deployment across major cloud platforms
Wiring AI agents into the platforms enterprises actually run on
Building intelligent retrieval and generation systems
Mastery of next-generation AI coding assistants and development tools
I don't just talk about AI — I build with it every day. I architect agentic swarms, orchestrate multi-agent broker networks, and ship MCP servers, A2A-connected agents, RAG pipelines, and Slack Enterprise Grid apps across every major model — Claude, GPT, Gemini, Bedrock, Azure AI, and Agentforce.
Loop Engineering is my core method: designing autonomous agent loops that plan → act → verify → self-correct, so systems keep working toward the goal without a human in every step. It's how frontier models become dependable production software.
20 agents and 6 MCP servers registered behind an Agent Fabric broker, where any agent can reach any tool without a bespoke integration between the two. Agents span vendor boundaries — Agentforce, Copilot Studio, Azure OpenAI, M365 Agents SDK — treated as peers behind the fabric. Agent-to-agent routing solved as an integration problem, not a prompting problem. An 18-month AI roadmap delivered in six; published by MuleSoft as their lead partner case study.
Deterministic YAML agents built with the rigour of infrastructure code — validate, publish, test, observe. Business rules live in the script; empathy lives in the LLM. The model becomes a reasoning engine following your rules, not a creative writer inventing them.
335 authored skills, 5 custom agents and 7 MCP servers covering the delivery lifecycle. Loop engineering in practice — agents that plan, act, verify and self-correct against real repositories and orgs, rather than assistants that autocomplete.
The full Salesforce doc corpus behind hybrid search for AI coding agents — 360 PDFs indexed into 156,000 semantic chunks. The point is grounding: on this platform, a confident wrong answer usually still compiles.
A live scan of a real org replacing the static Order of Execution diagram — every Validation Rule, Flow, Trigger and Workflow Rule that fires on an object, sorted by execution order, each linked to its setup page. The diagram describes a clean org; this describes the one you are debugging.
User stories and raw meeting transcripts into clean architecture and process-flow diagrams in seconds — themed, SVG export, or PlantUML to take anywhere. The same pipeline reads a formal story and a rambling call, because intent is what it parses, not format.
A dispatcher-experience rebuild for Salesforce Field Service — 3 Lightning Web Components and 10 Apex classes replacing the stock dispatch workflow. Dispatchers are the most demanding users on the platform and the least often designed for.
On-device meeting notes for macOS. A system-audio tap feeding Whisper and Ollama — transcription, recaps and name call-outs entirely local. No cloud, no third-party processor, nothing leaving the machine. For a lot of meetings that is contractual, not a preference.
Worker presence and zone safety in warehouses using WiFi Channel State Information across an ESP32 mesh. No cameras, no wearables — sensing from the RF environment a building already has, with edge ML on device.
R. V. College of Engineering, Bangalore
2004 - 2008Professional photographer with a creative eye for visual storytelling
Analytical mindset honed through market analysis and risk assessment
Early adopter exploring the latest in consumer technology
Design sensibility that informs UX and solution design
I'm always interested in discussing agentic swarms, loop engineering, enterprise architecture, AI/GenAI strategy, and technical leadership.
Claude, GPT, Gemini, Bedrock, Azure AI, Agentforce — I build agentic swarms and engineer agent loops across all of them, from infrastructure to production.
18+ years delivering complex enterprise solutions across telecom, utilities, healthcare, and financial services.
Actively building with MCP, A2A protocols, and agentic architectures - not just reading about them.
I translate between executive vision and technical execution, ensuring projects deliver real business value.