Portfolio · Design & Product · 2026

Kian Alexander
Kamshad.

Based: London & NYC
Currently: Co-building Trace
Education: Brown · CS
Beyond code: Guitar · Squash

§ 01 About

Biography

Computer science graduate working across consumer products, internal tools, and applied research.

I studied Computer Science at Brown University, including a year in industry as a software engineer at Airbus in Bristol, where I developed internal tooling and validation systems for engineering teams. I have also worked in mobile development at Rocket Lawyer, automation consulting at Parus Finance, and full-stack development at Educai.

I am currently working on Trace, a social travel app, and have contributed to applied research in sports engineering at Brown. I am most engaged where product requirements meet technical implementation, building software that teams adopt and measuring outcomes against clear, practical constraints.

Outside work

Classical guitar (ATCL, 2024) · Squash · Aikido

§ 02 Selected Work

Featured projects

Consumer mobile, campus tools, and everything in between.

View all projects →

012026 · Consumer mobile app

Trace

Social trip planner for real itineraries

Most trip planning still lives in group chats, screenshots, and generic listicles. Trace is a social trip planner for people who trust real routes from friends and travelers they follow: discover complete itineraries, copy a route in one tap, invite your group, and keep bookings, passes, stops, and decisions in one shared workspace.

Discover public itineraries with destinations, days, stops, and traveler context
Clone a trip, edit the route, adjust dates, and invite your group into one place
Attach tickets, passes, accommodation, and notes to the right part of the journey
Built mobile beta in Flutter; raised entrepreneurship grant from Università Bocconi

FlutterProduct designFigmaGo-to-marketCursor

Co-founder, product·Early access beta

022024 · Campus discovery tool

Brown Housing Lottery Demystified

Campus discovery tool

Brown's housing lottery hands students a hard deadline and almost no usable room information. This tool turns an opaque lottery into a searchable, filterable, reviewable resource, deployable without ongoing infrastructure cost.

Search and filter 1,100+ rooms by size, location, and bathroom type
Tag-based search scoring for natural queries
Peer reviews as generational housing knowledge
Self-contained deployment with no server dependencies

JavaScriptFrontendSearch & filteringGitHub Pages

Frontend lead·Live · 1,100+ dorm rooms

Let's connect

Open to collaborations, conversations, and new projects.