I'm Syed Mudaseer, a freelance UI/UX designer. Getting a visitor once is the easy part. I design websites, stores and apps that bring them back: clear journeys, fast checkouts and small reasons to return, so one-time buyers become regulars. Since 2023 I've shipped 12 client projects, every one on time.
Suminagashi — move your cursor to stir the ink · click to drop a ring
Two products designed, built and tested in public, my own app and a client store, plus three years of client work, most of it under NDA.
Scan a page you read and the app turns it into a summary, a word game and spaced flashcards — so the idea survives past the highlight.
A reading-retention app for people who highlight everything and remember nothing. I designed the capture → insight → recall loop, then rebuilt it as a working app and tested it on the same people I'd interviewed.
A black, premium storefront for an Indian embroidered-tee label, where picking a colour spreads over the shirt like a symbiote.
Designed around one signature interaction and a product card where every tap answers back. Shipped as a working store, reviewed by a second AI system and tested in a real browser before handover.
Client work (2023–2026). Twelve freelance projects across SaaS dashboards, e-commerce and marketing sites — most protected by NDAs, so they don't live on a public page. A curated client deck with outcomes and references is available on request.
Daily Recall scans a page from a book and turns it into a summary, a word game and spaced flashcards — closing the gap between highlighting something and actually remembering it.
It started the way a lot of usable products do — with a problem I was living. My reading habit was leaking; I'd finish a book and keep almost none of it. Before designing anything, I checked whether the pain was mine alone.
Those view counts weren't opinions — they were a crowd quietly raising their hands. The same question, asked by millions, across unrelated creators. My private frustration was a widespread, under-served need. That was the green light.
One question — "how do I remember what I read?" — pulling 17M+ combined views across unrelated channels.
Someone had tried to solve this — I found Readwise and genuinely wanted it to be the answer. The value was there in theory, but the experience cost more than it returned. Rather than trust my own reaction, I interviewed nine people from the target audience.
The complaints clustered: a flow that felt heavier than the payoff justified. I stopped guessing and documented every friction point users hit as they moved through it. That list became my brief.
Instead of handing over a static mockup and waiting, I designed the app and then rebuilt it as a functioning one — not a mockup pretending to work, but something I could put in a hand and watch get used.
That changed my feedback loop entirely. People stopped imagining how a flow would feel and started tapping through it — failing and succeeding at the exact friction points I'd catalogued.
I re-interviewed, redesigned, re-interviewed and redesigned again — two complete cycles, each grounded in watching real behaviour rather than my own taste. The capture flow got simpler; the recall surface got tuned until reviewing felt lighter than the reading it came from.
The final design wasn't my first idea. It was what was left after the weak ones got tested out.
The design file stayed the source of truth and I stayed the design authority — AI was just a faster brush. The real job was noticing a genuine pain, proving the demand behind it, refusing a tool that didn't deserve its users, and iterating against real reactions until the product fit. That's the same loop I run on client work — and the one I'd bring to your team.
T Vastra makes embroidered, oversized tees and sells them through Instagram. They wanted a black, premium online store with good type and micro-animations on the product cards. I directed and designed it, then built it as a working store with AI as the brush: Claude Code for the build, OpenAI Codex as an independent reviewer. The venom idea, the critique and every keep-or-cut call were mine.
The ask was a black, premium store with good fonts and micro-animations on the shopping cards, built on placeholder data so the real catalogue could drop in later.
One constraint shaped everything: the client didn't like their own logo's colours, so the palette couldn't come from it. I built it from the product instead: near-black, a warm bone white, and a single red taken from the thread already in their spider designs.
Most stores just replace the photo when you pick a colour. I wanted the change itself to feel like the brand, so I designed what I called the venom effect: a black, tendril-edged layer bleeds out across the shirt, the new colour chases it, and the embroidery re-threads itself halfway through.
That decided how it was built. Photos can't do this, so every tee is drawn as live SVG: the colour is its own layer and the tendrils come from a noise-distorted mask. Twelve designs, sixteen colourways, one renderer. Anyone who has reduced motion turned on gets an instant swap instead.
The product card is where people decide, so every action has its own feedback. The colour name slides to the new one, Front / Back flips the shirt in 3D, and Add to bag runs a spinner into a hand-drawn check while a dot in the shirt's colour flies into the bag and the bag icon bounces. The heart bursts when you save a tee.
The error state is designed too. Tap Add without a size and the sizes shake while the button itself turns red and says "Pick a size first". That version exists because the first one, a floating label, overlapped the colour swatches. I caught it while taking these screenshots and fixed it before publishing.
After the first build I judged parts of it generic, with too many familiar moves. So I explored a quieter, logo-led direction: a Roman serif matched to the wordmark, square corners, no intro, a centred hero.
Side by side, the bold original sold the product better; the quiet version made the tees feel smaller. I rolled it back but kept what the second pass got right: the client's logo, cut cleanly out of the flat JPG they sent, now in the nav, the intro and the footer and stitched onto a tee in thread colour, plus the emblem as a faint backdrop behind the hero shirt.
It works end to end: the bag survives a page reload, quantities update with a running subtotal, and a bar fills toward free shipping. Before handing it over I put the code through an independent review by a second AI system (OpenAI Codex) and scripted real-browser tests. The first review found four issues and the second found four more. All eight are fixed and the final review came back clean.
Honesty was part of QA too. The placeholder reviews are labelled as samples, and product specs I couldn't verify are flagged for the client to confirm before launch. A demo that pretends to be real is a liability, not a deliverable.
Found by Codex across two review rounds, fixed, then re-checked in a scripted Chrome session.
Three years of paying clients and real deadlines. You get one designer who owns the whole job, and a guarantee that you only pay for design that works.
Research, UX, UI and developer handoff. For 12 projects I owned every stage, so you don't need to manage an agency or pass files between three people. You talk to the person doing the work.
You get a fixed price and a delivery date before any work starts. Every project delivered on time, scoped, estimated and shipped by me, with updates along the way so you're never left guessing.
I design around the return visit: easy re-ordering, saved preferences, clear account pages and follow-ups that feel useful, not pushy. And I practise it myself: 80% of my clients came back or referred me.
A B.Tech in AI & Data Science means I think in constraints. I design what can actually be built, prototype in working code, and hand off clean files, so your developer builds it without guessing.
Hiring a designer you found online is a leap of faith. So I take the risk instead of you: if my design doesn't work for you, you get a 100% refund. No arguments, no small print.
Before any work starts, we agree on the goal (more repeat orders, more sign-ups, fewer abandoned carts), a fixed price and a delivery date. You see the work at every stage and can steer it. If the final design doesn't meet what we agreed, you don't pay for it.
Customer retention is where the money is. Bain found that keeping just 5% more of your customers can lift profits by 25% to 95%, and McKinsey found design-led companies grow revenue 32 percentage points faster over five years. That's the result I design for.
I don't design a screen until I can name the specific friction it removes. If I can't, it doesn't earn its place in the build.
My taste is a hypothesis, not a verdict. I put flows in front of real users early and let what they do — not what they say — settle the argument.
An engineering background means I think in constraints. I'd rather ship a feasible v1 this sprint than a perfect v3 that never leaves the file.
No developer? No problem. Once the design is signed off, I vibe code it into a working site with AI-assisted tools and deploy it live for you, so you get one person from first sketch to launch.
I'm a freelance product and UI/UX designer working with clients online. For three years I've been the only designer on every project, which means the whole job: research and user flows, hi-fi UI in Figma, marketing creatives, and the design system that keeps all of it consistent.
That range shipped twelve client projects — SaaS dashboards, e-commerce flows, marketing sites — and one product of my own, Daily Recall, taken from nine user interviews through two iteration cycles to a working, user-tested build.
My technical foundation is a B.Tech in Artificial Intelligence & Data Science. It isn't a costume — it's why I'm comfortable in the messy middle where design meets what's actually buildable, and why I design for how your customers really browse: on budget phones, on patchy connections, in a hurry.
What I offer is simple: a website your customers come back to, delivered on time, or your money back.
I reply within a day. Tell me about your business and what you want customers to do more often. I'll send back a fixed price and a delivery date, backed by a 100% refund if the design doesn't work for you.