01 · Who
Distributed systems, data platforms, and agentic AI — products and consulting.
I have built Autonomous Agentic AI platforms, Data Mesh architectures, and Distributed systems that transform enterprise operations at scale. I led a Data Mesh & Agentic AI platform serving 200+ data products and 20K users, delivering 6 autonomous agents (3 in production, 3 in beta). With proven delivery of $75M+ in savings through AI-driven optimization, PetaBytes scale data platforms and systems handling 500K+ TPS for millions of users, I bring hands-on expertise across the full stack - from Machine Learning, Distributed Systems, Data Engineering to Cloud-Native Infrastructure and Engineering Leadership. Beyond enterprise work, I actively design and build agentic AI products of my own — spanning consumer fintech, enterprise workflow automation, and applied research.
02 · Consulting
Architecture and design for organisations of all sizes — distributed systems, cloud-native platforms, agentic systems, and data platforms.
Scope a project: intake form
Signals
Initial discussion of the problem, constraints, and whether this is a fit.
Clarify goals, systems in scope, success criteria, and working constraints.
Written scope, approach, timeline, and commercial terms for review.
Lock the proposal, start the first sprint, and target an early build demo.
Demo and concrete deliverables at the end of every sprint.
03 · Showcase
Product overview — Rachna, Mantri, and research.shiv.io.
Swipe for products
रचना
Product graph for multi-org product work
Rachna is a product workspace where you compose and maintain a living product graph — products, platforms, capabilities, decisions, and processes — across multiple organisations. Inspect and edit nodes, attach PRDs and design/code artifacts, run multi-agent design sessions, export for git, and let coding agents (and Mantri) consume the same map via MCP.
rachna.shiv.ioFocus
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रचना
Product graph for multi-org product work
Rachna is a product workspace where you compose and maintain a living product graph — products, platforms, capabilities, decisions, and processes — across multiple organisations. Inspect and edit nodes, attach PRDs and design/code artifacts, run multi-agent design sessions, export for git, and let coding agents (and Mantri) consume the same map via MCP.
rachna.shiv.ioFocus
Screen 01
01 / 04
01 / 03
