Hi!

I'm Bhargav. I build AI products and automations.

How I got here

Here's how I got here, and what I'm building now

grab a coffee, it's a short read ↓

started as a computer science kid right as GPT-3 dropped and AI went from research papers to everyday life. turns out i liked the stories hiding in data way more than writing code for its own sake. every dataset felt like a puzzle , and i couldn't stop poking at them.

→ found my thing

i wanted to sit closer to real decisions , so i went into analytics. the google data analytics cert got me hooked, then a master's in business analytics at the university of surrey. biggest lesson? it's never about the fanciest model. it's about helping people decide better, faster. suddenly the numbers had faces: teams, budgets, customers waiting on an answer.

← surrey, here i come

when i'm not building, i'm sketching whatever catches my eye . it's my favourite switch from logic to pure creativity. and most of my best ideas? they show up when the music's on . a blank page and a good playlist fix most bad days.

sketchbook, always
way too many photos
blogs on self-love & growth
board game villain
24×7 music on

by day, data science assistant manager at lloyds banking group, mostly automation & AI: workflows and agentic systems that take the repetitive stuff off people's plates. the best part? watching someone get an hour of their day back .

by night, i ship my own things the credit compass, credit compass mcp and budget unlocked, usually with a coffee (or a coke ) close by.

scribble → something real people use

Experience

Where I've worked, and what I've shipped.

I take the slow, manual work nobody enjoys and turn it into AI tools people actually reach for: an assistant that answers questions from the company's own data, a no-code way to prototype models, and agents that keep an eye on the market.

Favourite win so far: 650 constituency packs for MPs across the UK, once 20 days of work, now done in under 10 minutes.

Christmas selfie with the team in festive hats

Lunch with the team at the Pensions Gap Hackathon

The team with inflatable candy canes at the Christmas photo booth

A selfie with the team in the kitchen at Google in London

The Elfie Station at the office Christmas party

Case studyInsightAIA RAG assistant that shows its sources

Proud of

A few things I'm proud of

Google Cloud's certification for leading generative AI work: knowing what the models can and can't do, spotting the use cases worth building, and rolling them out responsibly.

From — Google Cloud

The question: why do women invest less than men? We built ML models to find the friction points behind the gap, then an app prototype bringing community, financial learning and investing together, on BigQuery, Vertex AI and Looker Studio.

From — Google, London