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Building AI and mobile product experiences.
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Building AI and mobile product experiences.

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kanadhiayash/README.md

Yash Kanadhia, Toronto-based Product Designer focused on AI-enabled products, complex workflows, implementation systems, design systems, prototyping, and design-to-build collaboration.

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Static GitHub banner for Yash Kanadhia, Product Designer in Toronto.

Profile · Work · Capabilities · Workflow · Evidence · Credentials · Connect


60-second profile

I’m a Toronto-based Product Designer focused on AI-enabled products, complex workflows, and implementation systems.

I turn ambiguous product problems into structured workflows, interaction states, accessible interfaces, working prototypes, and implementation-ready decisions. My strongest work sits where product design meets real system constraints: permissions, trust, state, design systems, mobile and web behavior, AI-assisted workflows, and design-to-code collaboration.

Implementation supports the product-design work. I use Figma, React Native, SwiftUI, React, Firebase, GitHub, Claude, and Codex to test decisions beyond static screens without repositioning the work as general software engineering.

Selected product work: Shiroe for human-controlled AI continuity and evidence; PerFin OS for collaborative mobile fintech and design-system work; For Rent for multi-role rental workflows in SwiftUI; and StreamNexus for role-based web workflows and release discipline.

I design and build systems that connect people to outcomes.


Selected product work

The profile is intentionally scan-first. Each project stays concise here, with deeper implementation and verification evidence in the repository.

01 · Shiroe — AI product design, continuity, trust, approvals, and failure recovery

Shiroe

Product statement: A local-first AI project memory and control runtime that keeps decisions, evidence, privacy rules, approvals, and handoffs inspectable across AI-assisted work.

My role: Independent product direction, workflow and interaction modeling, implementation, verification, and public evidence discipline.

Product focus: cross-session continuity, human control, contradiction handling, privacy, confidence/evidence boundaries, supervised automation, and failure recovery.

Current boundary: Shiroe is alpha software. Public claims stay bounded to current repository evidence; no external benchmark superiority claim is made.

Repository · How it works · Verified evidence · Limitations

02 · PerFin OS — mobile fintech, collaborative product design, and design-system implementation

PerFin OS

Product statement: A collaborative React Native personal-finance product spanning activity, reports, insights, planning, and confirmed actions.

Team: Yash Kanadhia, Alexis Gorospe, and Sarmad Tariq. This profile does not imply solo ownership.

My contribution: Authentication and session ownership, finance-state separation, shared visual-token use, Firebase boundary cleanup, and reviewable pull-request delivery.

Product focus: financial workflow clarity, guest and authenticated states, semantic design systems, accessibility, implementation constraints, and responsible team attribution.

Current boundary: Public presentation remains a team-project contribution surface. Store release, adoption, behavior-change outcomes, and sole ownership are not claimed here.

Development branch · Session boundary PR #69 · Theme-token PR #68

03 · For Rent — multi-role product workflows, interaction states, and SwiftUI

For Rent

Product statement: A Canadian rental-marketplace prototype supporting guest, renter, and landlord journeys across discovery, conversations, viewings, decisions, offers, and qualification states.

My role: Product design and SwiftUI implementation across role-aware journeys, protected actions, authentication return paths, accessibility behavior, state coverage, and deterministic demo support.

Product focus: mutual-decision workflows, information architecture, permissions, interaction states, accessibility, and implementation-aware UX.

Current boundary: Portfolio prototype. No App Store release, production marketplace, real payments, or real-user adoption is claimed.

Repository · Product model · Testing and verification

04 · StreamNexus — product pivot, role-based web workflows, and release discipline

StreamNexus

Product statement: A full-stack portfolio prototype exploring customer and administrator workflows around streaming-rental discovery, catalog management, authentication, authorization, and rental states.

My role: Product framing, workflow design, full-stack implementation, testing, security review, and release-boundary documentation.

Product focus: role and permission states, administrator UX, system boundaries, failure states, authentication, and implementation evidence.

Current boundary: Portfolio prototype, not a hosted production streaming service. Real users, real payments, and production adoption are not claimed.

Repository · Architecture · Security review


Capabilities

Product design

Product framing · workflow architecture · information architecture · interaction design · prototyping · design systems · accessibility · state completeness

AI product design

Human-AI interaction · human approval · trust and uncertainty · context and continuity · correction and recovery · privacy boundaries · evaluation-aware UX

Design-to-build collaboration

Figma · React Native · SwiftUI · React · Firebase · Node.js · GitHub · testing · CI/CD · implementation verification

Implementation is supporting evidence for product decisions, not a claim of senior software-engineering positioning.


Operating workflow

Ambiguity → Workflow → Interaction → Prototype → Build → Verification

  1. Find the unknown. Clarify users, outcomes, constraints, evidence gaps, ownership, and the decision that actually needs to be made.
  2. Map the workflow. Model actors, states, permissions, data relationships, failure conditions, and handoffs.
  3. Design the interaction. Establish hierarchy, behavior, content, accessibility, and edge states.
  4. Prototype the decision. Use realistic flows and working prototypes to expose assumptions static screens can hide.
  5. Build enough to test. Carry the interaction model into implementation where technical constraints matter.
  6. Verify before claiming. Review behavior, accessibility, privacy, security, links, tests, ownership, and limitations.

Evidence and ownership

Evidence before claims. Metrics and outcomes stay out unless their source and method can be reproduced.

Ownership stays explicit. Independent work, team projects, and personal contributions are separated rather than flattened into “built.”

Prototypes stay prototypes. A working demo is not described as a production system, launch, adoption signal, or customer outcome without evidence.

AI assistance stays attributable. AI can support research, exploration, implementation, review, testing, and documentation. Product direction, acceptance, privacy, security, evidence quality, and public claims remain human decisions.

Accessibility is product quality. It belongs in content, states, interaction, motion, validation, and testing, including a static alternative for this profile’s motion banner.


Selected credentials

Anthropic

  • AI Fluency: Framework & Foundations
  • Claude Code in Action
  • Introduction to Claude Cowork
  • Claude Code 101

SCRUMstudy

  • Scrum Fundamentals Certified

Additional completed credentials are listed on LinkedIn.


Connect

I’m interested in Product Designer and AI Product Designer work where complex workflows, interaction quality, technical constraints, trust, and implementation need to stay coherent from concept through verification.

Toronto, Ontario, Canada · Open to Canada-relevant Product Design opportunities.

LinkedIn · Substack · Repositories

Pinned Loading

  1. shiroe shiroe Public

    Local-first AI project memory and control runtime for evidence, privacy, model routing, human approvals and cross-harness handoffs.

    Python 2

  2. PerFin-OS PerFin-OS Public

    A react-native Personal finance product focused on behavioural insight - UX, Firebase, Cloudflare R2 Storage, Gemini AI

    TypeScript

  3. streamnexus streamnexus Public

    Full-stack streaming platform with React, Node.js, MongoDB, auth, and role-based access control.

    JavaScript