Data Architecture & AI Explainability
Data architecture that makes AI work. AI design that people actually trust.
15+ years across TCS, Axis Bank, and LyondellBasell. Doctoral research in AI explainability and decision support. I work with CDOs, CTOs, and risk leaders in BFSI and manufacturing.
15+ years in production
BFSI & Manufacturing
DBA Candidate, Golden Gate University
TCS · Axis Bank · LyondellBasell
15+ years in production
BFSI & Manufacturing
DBA Candidate, Golden Gate University
TCS · Axis Bank · LyondellBasell
What I do
Where I work best
Data Architecture Audit & Roadmap
Zoom out on your data landscape. Identify structural problems, produce architecture diagram and prioritised roadmap.
For: CDOs, Engineering Heads
Data Foundation for AI
End-to-end data model and platform design for organisations whose AI investment is failing because the underlying data is broken.
For: CTOs, Engineering Leads
Performance Optimisation Advisory
Diagnose and fix slow or expensive Snowflake, Databricks, or Oracle environments. Fast engagements, immediately measurable ROI.
For: Engineering Teams, CTOs
AI Decision System & Explainability
For organisations building internal AI decision tools where trust and regulatory compliance are critical. Grounded in doctoral research.
For: Chief Risk Officers, CDOs
"Most practitioners do one of these well. Data engineering. Architecture. Governance. Production AI. I've done all four - in banking, manufacturing, and fintech. That's not breadth. That's the stack."
From the blog
Thinking
Most enterprise AI projects fail not because of the model - but because of what sits underneath it. Here is what to look for.
After three years of doctoral research on AI trust, one thing is clear: if people do not understand why the system decided something, they will override it.
Not the model. Not the API. The data contracts, the edge cases, and the architecture decisions nobody writes about.
About
The work behind the work
I've spent 15 years building data architectures at scale - across Big 4 consulting, Indian banking, and US manufacturing. My work spans the full data-to-AI value chain: engineering, architecture, governance, and production AI systems. I'm completing a Doctorate in Business Administration with research focused on what makes people actually trust AI decision systems. I work primarily with enterprises in BFSI and manufacturing.
Read more about my background →If your data foundation is broken, AI won't fix it.
Most engagements start with a 60-minute architecture review. No pitch. Just an honest assessment of where things stand.
Book a call via Topmate