Gautham Srinivas
Gautham Srinivas
Product Designer

I design AI products that suggest, and leave the deciding to the person. The research, the design system and the production code are one job, and I do all three.

Available for work.

Get in touch
UNSW Sydney University of Sydney DFAT Australia ANMM

Venice · AI 2025 1st · KPMG × UNSW Top 50 · Red Bull Speaker · UNSW Top 1% · ChatGPT 2025 First 0.5% · ChatGPT users

Shipping.

Public GitHub activity, 19 Mar to 19 Jul 2026. 115 of 123 days. Most of the work behind this site sits in private repos, so the real figure is denser than the squares.

The habit predates the job. 718 chats, 27.4k messages and 773 images through ChatGPT across 2025 put me in the top 1% of users worldwide, and I was among the first 0.5% of people to use it at all. I have been building with these models since before it was a category.


About me.

I'm Gautham Srinivas, a product designer in Sydney. Six years designing, across a clothing brand turned agency, enterprise SaaS, and my own AI products.

Most places put the creative people on one side and the technical people on the other. I have never worked that way. I came up through design computing, hold an AI imaging credit at Ethics & Aesthetics of AI in Venice, and wrote the type system that stops my own agents from acting without a human saying yes. The same hands did the brand, the interface and the deploy.

Two things I hold to. Software should make the person using it feel larger, not smaller, so nothing I build acts on someone's behalf without their say-so. And a claim should be traceable to a source, so my products cite what they read and say nothing when they cannot check it. I have cut my own features and pulled my own copy for failing that second test.


On brand.

Brand is not decoration applied at the end. It is the soul of a company and the way the world sees it, and it is the first thing a person meets, long before the product, the price or the pitch. Perception is set there, and everything after that is either compounding it or fighting it.

Which is why I am unreasonable about the details. The pillars are the same ones they have always been: purpose and positioning, voice and tone, visual identity in type, colour and mark, messaging, and the consistency that holds them together across every surface. A brand fails at the seams, in the one screen nobody proofread, in the email that went out in the wrong voice.

Designing this for AI is a context problem, not a style problem. A model cannot be told to remember a guideline. It can only be handed the right context at the moment it generates.

So the real object is not a document. It is the context every agent in the company reaches for before anything reaches a customer: one authoritative account of the brand, its voice, its palette, its positioning, its history, retrieved at the moment of generation and cited in what comes out. The campaign, the support reply, the product screen and the sales email all resolve to that same source, or the brand quietly drifts further apart with every generation. Get it right and on-brand is the default rather than something a person catches later. Get it wrong and you have built a very fast way to go off-brand at scale.

And the format is the least of it. Markdown, YAML and knowledge graphs are the tip of the iceberg. The engineering is in what gets retrieved and what is deliberately withheld, how far it is compacted before it is handed over, the order it arrives in, what can be cached against what has to be fresh, and how you prove the context changed the output rather than assuming it did. That is most of what I actually do.

This is the part I think is underrated. When every company runs on agents and anyone can ship software in an afternoon, the software stops being the differentiator. What is left is the thing that cannot be one-shot: a company's taste, its point of view, the accumulated judgment about how it speaks and what it will not do. That context is the operating system for a business, and the last durable moat. It is what keeps a company recognisably itself, and recognisably human, in a sea of competent, directionless output that all looks the same.

6+Years designing
100+User interviews & cold calls
15+Projects shipped
M.DesUNSW · Distinction

What I do.

Product design 01
  • End-to-end flows
  • Wireframes
  • Prototypes
  • High-fidelity UI
AI-native patterns 02
  • Read / edit / approve
  • Generation feedback
  • Risk & trust states
  • Prompts
Systems & brand 03
  • Design systems
  • Per-workspace theming
  • Tokens
  • Front-end
Research 04
  • Interviews
  • Usability testing
  • Journey mapping
  • Synthesis

Stack.

DESIGN.mdDesign system as code
Higgsfield AIImage & video generation
Claude CodeAI pair-building
CodexAI coding agent
FramerWeb design
PaperPrototyping
Adobe CCVisual craft

Experience.

Founder & DesignerSynchronise AI · 2026–now

An approval-first AI employee for small businesses. Research, design system, AI-native patterns, and production code, end to end, dogfooded live.

Product DesignerResonate CX · 2025–26

Global CX SaaS scale-up. Worked across Robyn AI and Frontline Queues (10k+ users); shipped newsletters that lifted open rates 30%. Features approved to production.

CDP ConsultantVoqo AI · 2025

Redesigned onboarding for a funded AI startup building real-estate voice agents (2,000+ MAU). Fixed critical UX friction with devs and PMs.

UX Design InternANMM · 2025

Outdoor play experience for a museum with 1M+ annual visitors. Co-design workshops and First Nations storytelling. Part of my Master's.

Founder & FreelanceHamletpeople · 2019–25

My clothing brand from high school, turned design agency. Sites, Shopify stores, and brand systems across ecommerce, music, and construction.


Recognition.

Ethics & Aesthetics of AIVenice · 2025
Employability Summit speakerUNSW · 2025
Top 50 / 110k startupsRed Bull · 2024
1st · Innovator ProKPMG × UNSW · 2024
1st · YLX NationalsAIESEC · 2021

Reach out.

Let's work together to build something people trust.

gautham@synchronise.ai
© 2026 Gautham Srinivas · Sydney