Payroll closure for a 370-person engineering firm.
I make the businessoperate better
I redesign workflows, then build the systems around them.
Learn howImpact Snapshot
Attendance records processed every month, plus 50+ invoices.
Active-user lift after the website revamp launch window.
Tracked lead events, with 166 organic search sessions.
How I Work
Understand the system behind the symptoms
Most business problems do not arrive as clean software requirements. They look like disconnected spreadsheets, repetitive work, fragmented tools, slow decisions, manual coordination and processes people have simply learned to tolerate.
Understand
Map how the business actually works, where decisions slow down, what people repeat manually and what the current tools fail to connect.
Redesign
Turn the operating reality into a better workflow, then choose the system architecture, automation and AI primitives that fit the job.
Deploy
Build, integrate, ship, observe and improve until the software starts removing real work from the business.
Experience
Chief Executive Officer
iKawn
AI operating systems, agentic commerce, product strategy and go-to-market.
Chief Product Officer
Crezlo
AI product leadership, product management and growth systems.
Lead Software Engineer
Angel One
Engineering leadership, technology management and software delivery.
Chief Strategy Officer
Herten Technologies
Business strategy, international sales and technology-led growth.
Director of Technology
iProspect
Product development, technology sales and digital platforms.
Head of UX/UI & Frontend Development
Razrcorp Private Limited
Led UX/UI, design and frontend development teams across digital product delivery.
Team Manager
Network18 Media
Team management across digital media products and delivery.
Head of Design for OZEE
Zee Digital
UI/UX decisions, app design, front-end development and product experience.
Systems I Have Built
Technology shaped around work
Sometimes the answer is an internal AI operating system. Sometimes a team of autonomous agents. Sometimes a retail AI experience. Sometimes an entirely bespoke ERP or a conversion-focused website revamp.
iKawn OpenBrain
An intelligence layer for running an AI-native company.
OpenBrain gives iKawn persistent memory across conversations, documents, tasks, agents and internal operations. It combines semantic memory, tools, background workers, agent orchestration, human approvals and business context into one operating layer.
The goal is not a smarter chatbot. It is an organisation that can remember, reason and execute across time.
iKawn Agents Team
A digital workforce built around roles, responsibilities and business outcomes.
Instead of treating agents as isolated assistants, Agents Team explores how multiple specialised agents can operate together as part of a company.
Agents can own functions, collaborate, use tools, maintain context, escalate decisions and work alongside humans.
iKawn Mirror
Using multimodal AI to redesign the retail buying experience.
Mirror lets shoppers visualise products on themselves through interactive retail experiences and virtual try-on. The challenge is larger than generating an image.
It involves AI, store behaviour, UX, hardware, latency, product catalogues, lead capture, commerce and the economics of physical retail.
Case Studies & Impact
Measured outcomes from workflow change
These are not just builds. They are operational changes with visible business movement: faster payroll, cleaner approvals, stronger acquisition and more traceable demand.
Rameshwar Enterprises
Payroll went from 7-10 days to about 10 minutes.
A 370-person engineering firm was running payroll, attendance, advances, invoices and statutory deductions through disconnected spreadsheets and handwritten site attendance.
I built an agentic ERP around the actual workflow: attendance sync, advance reconciliation, statutory deductions, invoice generation and human approval before anything goes out.
Zeneesha.com
A positioning-led website revamp that improved acquisition, engagement and lead activity.
The launch strengthened Zeneesha's digital presence for Workday services, improved organic discovery and turned more visitor attention into tracked enquiry signals.
The first assessed launch window delivered 441 active users, 423 new users, 63 tracked lead events and visible AI Assistant traffic as a new discovery route.
Forward deployed engineering means staying close to the business long enough to build the software it actually needs.
What I Focus On
Where systems and AI meet
I work across business operations, product, UX, AI architecture, agents, integrations, data and deployment.
My Philosophy
The best systems quietly remove work
Technology should not create another dashboard employees have to maintain. It should remember what humans forget, connect what was disconnected and adapt to the business instead of forcing the business to adapt to software.
01. Remove friction
Automate what should never have been manual and surface decisions instead of more data.
02. Preserve context
Build systems that remember, reason and carry business context across conversations, documents, tools and time.
03. Fit the company
The business should not have to contort itself around generic software. The software should understand the business.
Building iKawn
AI as operating architecture
At iKawn, I am exploring what businesses look like when AI becomes part of their operating architecture rather than another tool in their software stack.
iKawn
A company for building practical AI systems around real workflows, business outcomes and the operating constraints of the teams that use them.
Visit iKawnProcessMCP
A simple ProcessWire plugin that makes existing ProcessWire sites easier for AI agents to access through MCP.
View on GitHub