This website was built using the help of AI.
|
If everything can be easily recreated, then what actually matters?
✌️
Hey, I'm Inthu 👋
AI Evangelist & Strategic Advisor at AWS
Half my time is spent advising C-suite leaders at insurers, banks, and capital markets firms on cloud and AI strategy. The other half is spent hands-on with AI tools, writing code and building — I like really knowing what I'm talking about when I'm advising on it.
The AI thing started early
My first encounter with AI was in 2016, doing research on Probabilistic Latent Semantic Analysis at the University of Leicester — a precursor to the Transformer architecture that powers today's LLMs. Looking back, I probably should've stuck with research. But when I graduated, I couldn't pass up the opportunity to go into defence — and that detour through national security, government, and cloud gave me something I wouldn't trade: I know what it takes to ship AI in heavily regulated environments where you can't just "move fast and break things."
Before AWS
cameras
daily reads
I was at Leonardo and then 6point6 (now Accenture), working across defence, national security, and government. Most of those projects I can't talk about — but I was one of the engineers behind the National ANPR Service — 90 million reads a day across 18,000 cameras, where a missed read could mean a missed crime. No retries, no room for error. The rest of the work touches people's lives every day too, even if no one knows about it.
GOV.UK Building products
Trustpilot rating
cities served
Alongside the day job, I architected and led a team of developers building ride-hailing platforms from the ground up — real-time booking engines, driver allocation, operator dashboards, and payment systems handling thousands of transactions. Tranzitt compares taxi fares across the UK; Taxida powers rides in over 50 cities across southern India. When your platform goes down, someone's stranded at an airport. That pressure shapes how you architect for reliability and how you lead a team that can't afford to ship broken code.
At AWS
I advise C-suite leaders at the largest insurers, banks, and capital markets firms on cloud and AI strategy — helping them define and execute transformations that fundamentally change how they compete.
person-hours saved
Earlier at AWS I built a service lifecycle management tool that saved over 582,000 person-hours in six months, adopted across AWS and integrated into the AWS Health Service as a core mechanism. I also worked with the Bank of England and FCA on incident management, led crisis response for critical financial services customers, and spoke at AWS Summits across London, Paris, and Dubai.
Open Source
Contributions to public repos — mostly AWS-adjacent stuff, serverless patterns and tooling fixes.
Most of my code lives in private repos. GitHub profile →
Serverless Patterns
aws-samples/serverless-patternsAuthored a new pattern: accessing Bedrock via API Gateway with Cognito auth, domain restriction, and rate limiting. Full CDK Python app — 19 files, merged.
Amazon Transcribe Post Call Analytics
aws-samples/amazon-transcribe-post-call-analyticsFixed the build script so it actually works on Apple Silicon. The publish.sh was assuming x86_64 — set the arch explicitly so M-series Macs can build locally.
These days
I mostly use AI tools to build and ship — it's changed how I work completely. I invest in and help a handful of early-stage startups. And I'm passionate about teaching — I started back in sixth form running coding workshops for kids, and now I give talks to university students and at schools. Because the kid who didn't know anyone in tech could've used someone like that.
Want to chat? Find me on LinkedIn or check out what I'm building on GitHub.