2014 – 2015 · DOODLE FOODLE
Founder & CEO
An apparel brand. I illustrated the designs, ran the store and social, and read the numbers every month.
Solutions Consultant at Klizer · Hubli, India
I turn messy business problems into solutions teams actually use.
Founder, data scientist, product manager, delivery lead, now consultant. I've sat in most of the seats around a problem, so I'm most useful when it isn't obvious yet.
Right now · Oct 2026
Working
Solutions Consultant at Klizer, remote from Hubli
Reading
Poor Charlie's Almanack · Clear Thinking
Writing
This Week's Fixation, every week
Filming
Boring Things I Love, new episodes
01 — The path
Founder, data scientist, PM, consultant. Same instinct.
My career hasn't followed a straight line, so this doesn't either. Every turn put me one step closer to the person with the problem.
2015 – 2018 · JSS SMI
BCA, Computer Science
A bachelor's in computer applications. Built a food-ordering app on Firebase along the way.
2018 · UDACITY
Taught myself data
Data Analyst Nanodegree: Tableau stories, A/B tests, analysis in R. My bridge into tech.
2019 · INTO eCOMMERCE TECH
2019 – 2020 · DCKAP, CHENNAI
Data Scientist
First job. Analysis and models on eCommerce data.
2020 – 2022 · DCKAP
Product Manager
Took an AI analytics product from idea to launch, pricing included.
2022 – 2024 · DCKAP
Technical Project Manager
Ran web, mobile and ERP-integration builds with Agile teams.
2023 – NOW · KLIZER
Solutions Consultant
Frame the problem with clients before anyone builds. Remote, from Hubli.
- STILL SWINGING ↓
02 — Work
I didn't climb a ladder. I swung vine to vine.
Like Tarzan through the jungle: grab a vine, learn what it can teach you, use the momentum to reach the next. Each one left me with a rule I still use.
01 · FOUNDER
Every decision costs real money.
02 · DATA SCIENTIST
Let the data talk before you do.
03 · PRODUCT MANAGER
People adopt fixes, not features.
04 · TECHNICAL PM
Plans break at the handoffs.
05 · CONSULTANT, NOW
Use all four, in the same room.
WHAT THAT LOOKS LIKE · A TYPICAL FIRST CALL
"We need a new B2B portal."
One ask. Each vine hears a different question, and each one changes what we build.
THE FOUNDER ASKS
What is a slow quote costing them every month?
THE DATA SCIENTIST ASKS
Where do orders drop off today, and how do we know?
THE PM ASKS
Will buyers really stop phoning and emailing their rep?
THE DELIVERY LEAD ASKS
Which ERP sync breaks first on launch day?
THE CONSULTANT ASKS
Is a portal the answer, or is it a faster way to quote?
Problems I get called in for
Client work stays under contract, so here are the patterns instead. Happy to walk through real examples in conversation.
"We need AI."
- USUALLY
- A slow manual step nobody has mapped yet.
- I START BY
- Mapping the workflow, then using AI only where it removes real effort.
"Our ERP and store don't talk."
- USUALLY
- Nobody owns the data. It's rarely a missing connector.
- I START BY
- Agreeing on one source of truth before anyone picks a tool.
"Nobody uses the new system."
- USUALLY
- It was built for the buyer, not the people using it every day.
- I START BY
- Sitting with daily users, then rolling out in small, visible wins.
"We have data but no answers."
- USUALLY
- Plenty of reports, no decision attached to any of them.
- I START BY
- Naming the decision, then finding the few numbers that drive it.
03 — How I think
I fall into rabbit holes. On purpose.
It's the same loop whether I'm choosing a black T-shirt or framing a client's problem. Reviews come late. First I want to know how the thing is made, and why.
- ↓ 01
Get fixated
IN LIFE One thing at a time: a tee, a pizza, a perfume.
AT WORK One real problem, not a wish list of features.
- ↓ 02
Learn how it's made
IN LIFE The materials, the process, and who it was really built for.
AT WORK How the business actually runs, before what the software does.
- ↓ 03
Hear from people who live with it
IN LIFE Long-term owners and makers, not launch-day hype.
AT WORK The team using the system daily, not just the buyer.
- ↓ 04
Test it myself
IN LIFE Use it until the novelty wears off and only the truth is left.
AT WORK Prototype it before I propose it.
- ↓ 05
Make it simple, then share it
IN LIFE A newsletter issue or a reel.
AT WORK A recommendation anyone can read in a minute.
What came out of the holes
| HOLE | TRIED | KEPT |
|---|---|---|
| Black tees | Six or seven, over a year | Two stayed black |
| Earphones | Wireless, over-ear, the fancy stuff | Wired EarPods |
| Fragrance | A lot of perfumes | Le Sel d'Issey |
| Pizza | One Neapolitan pie | Sourdough, baked at home |
04 — Out loud
On stage, on paper, on camera.
05 — How I build
Part consultant, part builder, all curious.
AI tools are my everyday kit: to think faster, put something real in front of people sooner, and take the boring steps off everyone's plate.
01 · THINK
Research rabbit holes, stress-test ideas, write the first draft of anything.
ClaudeChatGPT02 · PROTOTYPE
Turn a discovery call into a clickable demo, so clients react to something real.
LovableClaude03 · AUTOMATE
Workflows and AI agents that handle the repetitive steps people shouldn't be doing.
n8nClaude
PROOF
This site was designed with Claude, then built and hosted on Vercel.
UNDERNEATH IT ALL
- Design thinking
- Discovery & solution architecture
- eCommerce, B2B & B2C
- Product strategy & pricing
- Agile delivery
- Public speaking
- Illustration
- Writing & short-form video
- English · Hindi · Kannada · Tamil
06 — Off the clock
Peak & pie.
Mountains and pizza — that's the handle. The rest is a series of loosely-related misadventures. Friends call me Bo.
Home is Hubli.