AI platform practice
Production agentic-AI platforms, from first principles.
Architecture as a continuous, evolving discipline — from design through implementation. I scale enterprise agentic-AI platforms and the teams behind them from 0 to N, so autonomous agents run reliably, safely, and economically — infrastructure, governance, and scale.
At Jio Platforms I architected and led the 0→production build of the company's enterprise agentic-AI platform and directed a 54-person AI/ML organization; five teams shipped 7 production agents on shared, governed infrastructure, including Jio's first production MCP-based agent. Now Fractional CTO and architect for health-tech and fintech.
A short call on your agentic-AI platform.
View the system design8 parts · 30 chapters.
The practice
Four kinds of engagement, each grounded in work I have actually shipped or authored — not a service menu.
- 01 · Agentic-AI platform architecture Layered architecture stack, defined end to end for the enterprise
The five-layer stack named in The Agentic Platform: LLM serving → data & memory → orchestration → LLMOps / observability → app hosting — with security, guardrails, and compliance embedded at the platform layer, not bolted on. The architecture I built 0→production at Jio.
- 02 · Agents into production Standing up the infrastructure, then shipping the agents on it
Health-tech: an ontology-driven advanced-RAG agent for multi-hop, evidence-based clinical Q&A. Fintech: a generative-UI agentic app (CopilotKit) for merchant and customer onboarding, loyalty, and analytics.
- 03 · The AI development lifecycle, end to end Standing up the agentic SDLC — from spec to self-healing
A twelve-stage workflow where humans steer with specs and gates, fleets of agents implement in isolated sandboxes, and an agentic-SRE loop feeds fixes back into implementation — with harness and loop engineering as the enablers, and the review and security gates doubling as SOC 2 evidence. The full method is set out in the AIDLC Field Manual.
- 04 · Privacy-aware AI memory & compliance Compliance designed into the agent, not audited after it
DPDP and GDPR Article 17 right-to-be-forgotten across knowledge graphs, embeddings, and inference logs; regulator-verifiable signed deletion receipts; and multi-hop audit trails.
Writing
I write to think. Technical work on agentic-AI systems, platform architecture, and the governance decisions that shape how teams ship agents in production.
- The Agentic Platform Published
Reference architecture · 8 parts · 30 chapters
A first-principles system design for running autonomous AI agents reliably, safely, and economically at scale.
- The AIDLC Field Manual Published
Field manual · the 12-stage agentic SDLC
Running the AI Development Lifecycle end to end — spec to self-healing — with harness and loop engineering as the enablers and gates that double as SOC 2 evidence.
About
I architect enterprise agentic-AI systems — the infrastructure, governance, and scaling patterns that take autonomous agents to production. Thirteen-plus years building the systems other teams build on, from India's largest data lake and machine learning at national scale to Jio's enterprise agentic-AI platform.
Contact
Selective — taking a small number of agentic-AI platform engagements. Email is the fastest path.
Reply within a couple of days.