Staff / Principal Product Designer · AI & LLM Products · fully remote (GMT+5:30)

Your model is right. Your users still won’t bet on it.

The half-second of doubt is the only thing I design. Sixteen years, five industries, one problem — and the receipts for all of it.

Talon Outdoor — six AI systems · PE & VC platforms · PTC — NASA, Boeing & Apple among clientele · Telefónica O2

The outcomes — four industries, baselines included

Numbers first — every one with its baseline, and a door to the story behind it.

What changed when they trusted the machine.

Campaign planning fell from 2 weeks to 3 hours.campaign planning · AdTech · per campaign · +£69k media value/client
60%faster PE deal screening · FinTech · pre/post rollout
$1M / yrsaved off the print budget · EdTech · vs 2016 baseline
4M+users on two O2 products · Telecom · O2 UK · publicly reported
The person — who you’d be hiring

Numbers survive scrutiny; a person ships them. Who you’d actually be getting, and how I run a room.

By Friday of week one I’ve read your evals and sat in on your customer calls; by launch, the interface I drew is the code I shipped.

I read the model at the eval layer. I shape what gets measured. I ship the front-end.

On my first accessibility project I spent a week with my monitor switched off, navigating by screen-reader — designing for someone who isn’t you starts by becoming them. That project started as my documented miss →

Fully remote · GMT+5:30 · both US coasts, daily

Arpit Maheshwari

Candidate Facts

Serving size: 30 minutes · Servings: 1 seat

Experience
16 yrs
Industries
5
Patterns in production
8
Act / Review / Ignore
1 rule
Users shipped
4M+ · public

02 · 2How I lead — come argue with me

I lead the way I design: evidence before opinion, overrides as signal.

With engineering

Eval design before interface design

The front-end I own ships in the PR — commented and ready for review. When we disagree on feasibility, the cheapest experiment goes first and settles it.

With product / founder

Outcomes, not deliverables

I’ll contest the roadmap when the numbers contradict it. The design doc is mine to write; the spec is yours.

With customers

Five calls in week one

One a week forever after, and I read the raw support tickets myself. No AI feature ships until I’ve personally watched someone fail to use it.

Errata

My first accessibility pass buried screen-reader users in verbose labels. I spent a week with the monitor off, navigating by screen reader, then rewrote the front-end. The full account, in the PTC case →

Overruled

Allocating creative across a campaign’s hours: I proposed a simple table of input fields. The product owner wanted an interactive time-distribution map; I argued it was too expensive for the MVP and lost. An engineer messaged me late at night saying we should push for it and he would build it — so I designed it over several late evenings and the team shipped it. It became a demo selling point, and was sold as a differentiator. I was wrong about the ceiling, and the person who corrected me was on the other side of the handoff.

The method — watch it run, then read it

How the work gets made — five minutes on camera, then the contract and the workflow behind it.

Five minutes, the real work — decisions, receipts, and the miss.

4:58 · four products · Listen → Structure → Prove → Land One process walked end to end on the live work — the campaign planner and the deal-screening drawer operated on camera, and the accessibility failure told in full. Narrated with a synthetic voice — part of the AI workflow this site documents. The method, written out →

03 · 2The contract I write when a capability needs a boundary

A language model has no edges. So I draw them.

Ask one anything and it answers — fluently, in or out of its depth. A user’s trust does not erode slowly; it dies in a single confident wrong answer. So before launch I write a capability contract — a one-pager the whole team signs — and it goes in the interface, at the point of use.

In scope

It’s for

The job stated narrowly — “score deal risk from the data room,” not “analyse documents.”

Declines

It can’t

A named limit, not a hedge. “I can’t price illiquid assets” — never “results may vary.”

Hands back

Ask a human

A visible route to a person, designed with the care of the happy path. Never a silent, confident guess.

live — the contract, workingsigned

It’s for: scoring deal risk from the data room.
It can’t: price illiquid assets.
Hands back: anything else → your analyst.
— ask it something —

answers openly canned — the contract is the demo, not a model

03 · 3How I build with AI — the workflow, not the tool list

The design system became a plugin. The quality bar became code.

The system, installed

Design systems as Claude plugins

A client’s design system encoded as an installable plugin, so every generated screen speaks the system — two shipped across client orgs, one public. Talon’s five-product system runs this way, installed by developers at Talon and Sahaj.

The bar, automated

Quality gates in CI

Contrast, overflow and legibility checks run on every change before a human reviews it — the same gates that ship this site. When a gate and my eye disagree, the pixels win.

The prototype, shipped

Working code, to production

AI-assisted prototyping in HTML/CSS/JS that ships — the interface I design is the front-end in the PR. Prototypes are usability-tested as working HTML, then shipped as code.

The judgment stays mine: no AI feature ships until I’ve personally watched someone fail to use it. The receipts are below — this site, torn down →

Proof, not philosophy: loop.js — 42/42 tests · trustlint — 7 rules · this site — 0 build steps

Before you decide — four people, four vantage points

A client CTO, an engineer, a manager, a designer — then three essays, and one form.

Don’t take my word for any of this.

The engineer built the platform, the manager ran the team, the designer sat on the next desk — none of them owes the others agreement.

The client’s CTO
“Over the past four years at Talon, Arpit has been instrumental in shaping four distinct products from the ground up. His user-focused designs are remarkably intuitive yet adept at handling complex workflows… If you need a designer who excels at combining strategic vision with practical execution, Arpit is the person to call.”
Anant EastCTO at Talon Outdoor
The engineer who built it
“Arpit consistently demonstrated exceptional speed, creativity, and attention to detail… his ability to present multiple design options along with clear pros and cons made it much easier for different stakeholders to make informed decisions and align quickly.”
Sanjesh AnandaSoftware Engineering Leader · built the AdTech platform with Arpit
The manager who ran him
“Arpit has worked with me for years and I value his honesty and hard work. He’s been an integral part of my staff… involved in all facets of the team, from design to development to hiring and onboarding of new members.”
Ryan KershnerUX Design Leader · managed Arpit directly
The designer beside him
“Arpit teams up with designers very well, not only does he flawlessly execute the UI implementations but he pushes back on design decisions using his UX expertise… I’d recommend Arpit to any team looking to improve their final product.”
Katie AlterioProduct Designer · same team

04 · 3Contact — available · 4 weeks’ notice

One seat. Full-time. Yours to offer.

Staff / Principal product design, or a founding design lead. Fully remote, GMT+5:30, four weeks’ notice.

Indore, India · fully remote · daily overlap with both US coasts · 4 weeks’ notice

Resume (PDF) ↓ · Email · LinkedIn ↗ (opens in a new tab)

Rather read first? The pattern library, or paste the role into the fit check.

— Arpit

LOOP AIR — BOARDING PASSremote · non-stop
INDYOU
PASSENGERMaheshwari / A
CLASSFull-time
SEAT1 of 1
CARRY-ON16 yrs · receipts
STATUSBoarding now
GATE30-min call