CTO | Technology StrategistBangalore, India
Technology Leader & Fractional CTO
I’m a fractional CTO and technology strategist helping organisations navigate complex technology decisions with clarity, structure, and confidence
30 years of technology leadership together with the practical perspective of a startup founder.
About
I help product and engineering leaders design pragmatic, future-ready architectures — especially when they need senior judgment without a full-time hire.
With 30 years of experience spanning Chief Architect roles, practice leadership, and platform innovation, I typically engage for architecture reviews, technical strategy, and advisory support (15–25 hours/week).
At Marlabs I led enterprise-wide architecture direction, platform modernization, and senior architecture teams. Earlier, at IGATE/Capgemini and Born Group, I conceived proprietary platforms and built high-impact practices in front-end engineering and RPA.
I now work independently while building my own technology ventures. This gives me the flexibility to bring focused, unbiased architectural judgment to organizations that need it — alongside my work on full-stack platforms for labor and agricultural markets.
My current focus is AI-native architecture, GenAI adoption, intelligent automation and the practical integration of AI into existing products and engineering organizations.
Services
Senior technical judgment, exactly when you need it.
Focused advisory engagements for startups and enterprises navigating consequential architecture and platform decisions.
Architecture reviews & technical strategy
Independent assessment of systems, roadmaps, and key design decisions—turning complexity into a practical, prioritized path forward.
Fractional architecture leadership
Senior architecture guidance for product and engineering leaders who need experienced judgment without a full-time executive hire.
Platform modernization & cloud-native architecture
Pragmatic modernization plans that balance scalability, resilience, delivery risk, and the realities of your existing technology estate.
AI & GenAI adoption strategy
Value-led use-case discovery, architecture, and integration guidance to move from experimentation to responsible production outcomes.
Architecture team mentoring
Hands-on coaching for senior engineers and architects, with clearer decision practices, standards, and technical governance.
When to Engage Me
Bring me in when the next technical decision carries lasting consequences.
I’m most useful at moments of growth, change, or uncertainty—when experienced, independent judgment can create clarity and reduce risk.
Your architecture is becoming a constraint
The product has grown, teams have multiplied, and technical decisions are becoming harder to coordinate.
A major technology decision is approaching
You’re considering cloud migration, platform redesign, modernization, build versus buy, or another consequential change.
You need senior leadership, but not a full-time hire
Your team needs Chief Architect-level direction and accountability at a stage where a permanent executive role does not yet make sense.
You’re bringing AI into an existing product
You need to identify where AI creates real business and engineering value—and how to integrate it responsibly.
Your engineering teams need a shared direction
You want stronger architecture practices, decision clarity, and alignment without adding unnecessary bureaucracy.
Perspectives
Thinking about technology—and the decisions around it.
I write about AI, software architecture, engineering practices, and the choices shaping modern organizations.
Your AI Pilot Worked. Now Prove It Can Survive Production.
A successful AI demo proves that something is possible. Production proves that it is dependable. Five questions every architecture team should answer before go-live.
Read perspectiveYour AI Architecture Might Be Ready. Your Risk Posture Isn't.
AI adoption doesn't just make organizations smarter—it expands their risk surface. Every AI system introduces new attack surfaces, new reliability challenges, and potentially a new decision-maker or autonomous actor within the organization.
Read perspectiveBefore You Build AI: Is Your Architecture Ready?
Most AI projects don't fail because of the model. They fail because the architecture underneath was never ready to support it. Before you build, ask the harder question: is your data, your systems, your ownership model actually ready — or are you about to find out the hard way?
Read perspectiveAI-Native Architecture: What It Actually Means (And What It Doesn't)
AI-native architecture means designing AI systems for reliable, observable, cost-controlled operation—with clean data, feedback, evaluation, guardrails, and human oversight—not merely adding an LLM feature.
Read perspectiveMost Companies Aren't Adopting GenAI. They're Collecting Demos.
Why most GenAI pilots fail—and how an architecture-first approach turns disconnected demos into measurable, production-ready business capabilities.
Read perspectiveWhy AI Isn’t Just Making Us Smarter—It’s Making Us Seriously Vulnerable
A look beyond AI’s promise to the new risks created by powerful, autonomous systems—and why security, governance, and human judgment must evolve with them.
Read perspectiveWhy AI Literacy Is the New Professional Superpower
Why practical AI fluency is becoming essential for working faster, learning continuously, making better decisions, and remaining adaptable in a changing workplace.
Read perspectiveSpec-Driven Development with AI: The Next Wave in Software Engineering
How living specifications can give AI coding agents the context and constraints needed to move teams beyond vibe coding toward reliable, production-grade delivery.
Read perspectiveMicro Frontends: Are We Overcomplicating Things?
The benefits, implementation approaches, and organizational trade-offs involved in breaking complex web applications into independently deployed frontends.
Read perspective8 Queens Puzzle and the Power of Recursion
A personal introduction to recursive backtracking through the classic Eight Queens puzzle, including a concise Python implementation.
Read perspectiveExperience
30 years across enterprise architecture, platform innovation, and practice leadership—from hands-on engineering through Chief Architect roles.
- Enterprise-wide architecture and platform modernization at Marlabs
- Digital engineering and RPA practice leadership at IGATE, Capgemini, and Born Group
- Current independent consulting and venture building
Contact Me
Have a consequential technology decision ahead?
Let’s discuss the architecture, strategy, or AI challenge you are navigatingSchedule a quick chat
