Principal Architect — Solution & Enterprise Architecture, Cloud Platform Strategy & AI Enablement

01

I design systems that outlive their first version.

Enterprise systems rarely fail because of weak technology. They fail because architecture, product thinking, cost discipline, and user experience are disconnected.

I translate business strategy into platform architecture — cloud-native, AI-ready, and financially accountable — that scales with structural clarity, not accumulated complexity.

Twenty-two years of that work has been techno-functional rather than purely technical: I carry the business case as well as the design. My practice sits across four axes:

Architecture & strategy — target-state design, modernization roadmaps, trade-off and risk assessment
Cloud & platform — Azure and AWS, Kubernetes, microservices, event-driven integration
Business & value — cloud economics, cost governance, customer discovery translated into architecture
AI enablement — enterprise-safe LLM tooling, RAG and vector search, agents, AI governance

I work at the system level — not the feature level.

02

What I own

Legacy Modernization & Cloud Migration

When cloud costs rise and delivery velocity slows, architecture is usually the root cause. I run modernization end to end — from the business case that gets it funded through to the services in production.

Build the re-architecture proposal and carry it through stakeholder approval
Define target-state architecture and the sequencing to reach it
Decompose monoliths into microservices ecosystems without stalling the roadmap
Design Kubernetes-native CI/CD automation frameworks
Improve observability, scalability, resilience, and compliance posture

At NielsenIQ this meant a 15-year monolith re-architected and migrated to Azure in eight months, with the first new services live in six — and CI/CD driven to 100% platform coverage on containerized Kubernetes pipelines, migrating Jenkins to GitHub Actions.

Cloud Economics & Cost Governance

Infrastructure spend is an architecture output, not a procurement problem. I treat it as a design constraint with a business case attached.

Model cloud economics and build the case for structural change
Establish FinOps and cloud cost governance operating models
Right-size through re-architecture rather than through deferral
Hold the savings with governance that survives the next roadmap cycle

Executed in two phases at NielsenIQ: on-prem to cloud removed 20% of infrastructure cost; a subsequent VM-to-AKS migration removed a further 27% — roughly 47% in total over two years.

AI Enablement

AI should be infrastructure — not decoration. My current work makes it safe to adopt at organizational scale.

Enterprise-safe, self-hosted LLM tooling and LLM-assisted engineering workflows
RAG and vector search architectures; AI agents and reusable AI artifacts
Architecture Assessment Automation platforms
AI-driven manufacturing and operational analytics
GitHub Copilot enablement scaled across engineering teams

I sit on the NIQ AI & Cybersecurity Governance Committee as an elected member, setting organization-wide standards for how AI is built and adopted.

Architecture Governance & Assurance

Governance earns its keep when it accelerates delivery instead of taxing it.

Serve as platform architecture authority to the Cybersecurity & Architecture Review Board
Establish architecture review frameworks and trade-off records
Hold CIS-16, HIPAA, and GDPR compliance across every release
Run build-vs-buy evaluation, vendor selection, and commercial negotiation
Prevent technical debt from hardening into structural drag

03

Measured outcomes

Architecture decisions are worth what they change. These are the numbers attached to mine.

~47%

Cloud infrastructure cost removed over two years — 20% on-prem to cloud, a further 27% VM to AKS

8mo

15-year legacy monolith re-architected to microservices on Azure; first services live in six

100%

CI/CD coverage across the platform, migrating Jenkins to GitHub Actions on Kubernetes

1.5×

Platform usage growth from structured customer discovery translated into architecture change

3×

Participant reach after re-architecting Neuro@Home from lab-based to remote delivery

40%

AWS cost reduction alongside a 50% platform performance gain at Future Focus Infotech

Recognized with the NIQ KUDOS Award (Q1 2026) for AI enablement and security excellence.

04

Selected work

Six engagements that show the range — enterprise modernization, DevOps architecture, regulated healthcare, and industrial IoT.

Axon Neuro Platform

NielsenIQ

AI-driven architecture modernization and manufacturing analytics. A 15-year legacy platform re-architected into a microservices ecosystem and fully migrated to Azure in eight months, with cloud cost governance and self-hosted LLM tooling built alongside it.

20% infrastructure asset cost reduction through re-architecture; a further 27% through cost governance
Kubernetes-native CI/CD automation frameworks across the platform
Architecture Assessment Automation and enterprise-safe LLM-assisted engineering workflows
AI-driven analytics combining operational, environmental, and performance signals

Stack Azure · Kubernetes · Self-hosted LLM tooling · CI/CD automation

Neuro@Home

NielsenIQ

Re-architected a lab-based research product for remote delivery, partnering with East US and Europe stakeholders. Removing the geographic and logistical constraints expanded participant reach threefold.

Stack Azure · Microservices · Distributed delivery architecture

Jeebly

Future Focus Infotech — customer project

DevOps PaaS architecture for a last-mile delivery platform, leading a team of DevOps engineers through cloud configuration and delivery. The engagement returned a 3× performance improvement, zero-downtime deployment, and a scalable PaaS foundation.

Stack EC2 · S3 · RDS · Aurora · ElastiCache · MQ · ELB · CloudWatch · CodeDeploy · VPC · IAM · Docker · Jenkins

Patientrials

Mongrov

A clinical trials application across iOS, Android, and browser, built to HIPAA and GDPR compliance standards. Delivered patient onboarding, notifications, chat, video calling, and NLP-driven interaction.

Stack Speech recognition · Text-to-speech · NLP · HuBot · MongoDB

Mongrov

Enterprise messaging and collaboration platform delivered under HIPAA and GDPR standards. I led UX and front-end architecture, defined the user experience across the whole product, and ran Scrum for the UI/UX and React Native team.

Real-time chat, video calling, AI bots, to-dos, and geo-tracking on iOS and Android
SaaS administrative modules in the web application
Great User Experience Award 2018 from FinancesOnline

Stack ReactJS · React Native · Redux · Realm · MongoDB · Firebase · Socket.io · MeteorJS

Alstom MARTA

Breezeware — Alstom Transport, Atlanta

Core architecture contribution to a rail track maintenance and monitoring system — a large-scale enterprise infrastructure engagement spanning IoT integration and BPM workflows.

Stack AngularJS · Hibernate · IoT integration · BPM

05

Track record

Twenty-two years across enterprise SaaS, PaaS, government, and startup environments — founder, operator, and architect.

2021 —
Present
Principal Architect

NielsenIQ LLC (NIQ India) · Chennai

Reporting to VP, SA&I BASES Engineering. Technical ownership across a 20+ member cross-functional engineering team.
- Own end-to-end architecture for the SA&I BASES platform and its target state
- Led the 15-year monolith to microservices migration — proposal through delivery in 8 months
- Two-phase cloud cost optimization totalling ~47% infrastructure savings
- CI/CD to 100% platform coverage; Jenkins migrated to GitHub Actions on Kubernetes
- Elected member, NIQ AI & Cybersecurity Governance Committee
- Platform architecture authority to the Cybersecurity & Architecture Review Board
2019 —
2021
Product Manager (Technical / Architecture-led)

Future Focus Infotech · Chennai

Owned architecture and delivery across a 20+ member engineering, DevOps, and QA team.
- Architected and delivered 5 products — 3 internal SaaS platforms, 2 client-facing builds
- Designed Azure and AWS solution architecture and migration strategy for enterprise customers
- AWS optimization delivering 40% cost reduction and 50% performance improvement
- Built the company's DevOps, CI/CD, and cloud automation practice from the ground up
- Owned vendor and partner relationships — identification, negotiation, resourcing
2017 —
2019
Lead Architect

Mongrov, Inc. (Atom8 IT Solutions) · Coimbatore
- Led UX and front-end architecture for the Mongrov enterprise collaboration platform, under HIPAA and GDPR
- Directed cross-timezone teams and owned branding and digital identity architecture across all products
- Owned cross-functional vendor and partner relationships end to end
- Great User Experience Award 2018 — FinancesOnline
2013 —
2017
Lead Architect

Breezeware Technologies LLC · Coimbatore
- Introduced full-stack JavaScript to the company, architecting 10+ products across healthcare and enterprise
- Core architecture contributor to the Alstom rail track maintenance and IoT programme
- Drove agile delivery as Scrum Master across concurrent product streams
2002 —
2013
Co-founder & Technical Director

Black & White Multimedia · Coimbatore
- Scaled a full-service digital company from 2 to 50+ people over 11 years, serving 200+ clients across India, the US, Europe, the Middle East, and Australia
- Creative Director for the first 5+ years, then Chief Operations Officer owning delivery, people, and process
- Technical Relationship Manager for Standard Chartered Scope International, Ramco Systems, and TVS Infotech
- Led the company through a successful acquisition while maintaining delivery continuity

06

What I carry that most architects don’t

Most architects specialise in either architecture, product, or experience. My path ran through all three — and through running a business that had to survive its own delivery decisions.

Founder and operator — built a 50-person digital services practice over 11 years and led it through acquisition
Commercial instinct — business cases, build-vs-buy, vendor negotiation, and delivery accountability for enterprise accounts
Design origin — Creative Director for five years before architecture; award-winning UX still in my own hands
Both operating modes — startup velocity and enterprise governance, without mistaking one for the other
Still builds — a full-stack engineering background (MERN, TypeScript) behind the architecture diagrams

That combination is why I can diagnose systemic problems quickly: I have sat on every side of the table where the problem was created. The result is architecture that is technically sound, commercially defensible, and experientially coherent.

Principles I design by:

Architect information, not just interfaces

Reduce friction before adding features

Design for cognition, not aesthetics

Build reusable systems, not isolated screens

Align user journeys with measurable business outcomes

A technically scalable system that fails experientially is still broken.

07

Core competencies

Architecture & Strategy

Solution & enterprise architecture
Business-technology alignment
Target-state & modernization roadmaps
Trade-off & risk assessment
Build-vs-buy & vendor evaluation

Cloud & Platform

Azure (AKS), AWS
Kubernetes, Docker
Microservices & distributed systems
API & integration architecture
Event-driven messaging (Kafka, RabbitMQ)

AI Enablement & Data

LLM integration & self-hosted tooling
RAG & vector search (MongoDB)
AI agents
GitHub Copilot enablement
AI & cybersecurity governance

Business & Value

Cloud economics
Cost optimization & governance
Customer discovery to architecture
Digital transformation
Process design & optimization

Engineering & Assurance

CI/CD automation (GitHub Actions, Jenkins)
Observability (Datadog)
Security & compliance (CIS-16, HIPAA, GDPR)
Architecture review & governance (ARB)
Full-stack background (MERN, TypeScript)

Leadership & Delivery

Technical strategy & roadmapping
Cross-functional team leadership
Stakeholder management
Vendor & partner management
Agile, Scrum & talent mentoring

08

Credentials

Recognition

NIQ KUDOS Award NielsenIQ — for AI enablement, security excellence, and Copilot adoption across engineering: Q1 2026
Bravo! Performance Award NielsenIQ: 2023
Extra Mile Award Future Focus Infotech: 2021
Great User Experience Award FinancesOnline — for the Mongrov platform: 2018

Certifications & learning

MongoDB AI Skill Badges — Vector Search, RAG & AI Agents MongoDB (Credly) — AI-powered search, RAG applications, and AI agents with MongoDB: Jul 2026
Machine Learning Specialization DeepLearning.AI / Stanford University (Coursera) — supervised learning, advanced algorithms, unsupervised & reinforcement learning: Sep 2025

Education

B.E., Electrical & Electronics Engineering Bharathiar University, Coimbatore: 1998 — 2002

09

A personal note

I am deeply curious about how systems behave — technical systems, organisational systems, and human systems.

Durable platforms emerge when engineering rigour, product clarity, and human-centred design are treated as one discipline — not separate departments.

Away from the day job, I explore AI-native tooling and architecture automation — the systems that reduce engineering cognitive load rather than add to it. Some of that thinking ends up in writing.