About

Yash Shah

Founder | Product Builder | AI Systems

Vancouver, BC Canada

I’m a founder and product builder focused on practical AI systems for real world workflows. I work at the intersection of customer insight, product strategy, agent architecture, and engineering to build systems that handle messy data, fit how teams actually operate, and create measurable business value.

I like working close to the problem, from understanding how decisions get made today to designing tools that make those decisions faster, better, and more scalable tomorrow.

Today, I’m building Agent Studio, where I help SMBs move from AI experimentation to production workflows across CRM, ERP, cloud platforms, and internal operations.

Before Agent Studio, I co founded Autonomy Finance, where I led AI and product for advisor intelligence agents. Earlier, I built TakeStock, an AI native personal finance platform that grew to 500 plus beta users before its product and IP became the foundation for Autonomy.

Yash Shah photo 1
Yash Shah photo 2
Yash Shah photo 3
Yash Shah photo 4
Timeline
  • 2026-Present

    Building Agent Studio

    Helping SMBs design and ship production AI workflows across CRM, ERP, cloud platforms, and internal operations.

  • 2025-2026

    Co-founded Autonomy Finance

    Led AI and product for advisor intelligence agents; helped raise a $1.5M pre-seed and shape early financial advisory pilots.

  • 2022-2025

    Founded TakeStock

    Built an AI-native personal finance and market intelligence platform to 500+ beta users before acquisition.

  • 2018-2022

    Equity research and trading

    Built trading systems, market data pipelines, and ML-driven strategies that later shaped my finance AI work.

  • 2016-2018

    Partner at SMG&CO.

    Led audit and advisory teams, acquired 10 clients, and built a foundation in controls, compliance, and business operations.

Skills & Expertise

Turning AI ideas into production-ready products people pay for.

Product Management & Strategy
  • Customer discovery, market mapping, and problem framing
  • AI product strategy, positioning, roadmap, and GTM
  • Launch planning, metrics, adoption, retention, and iteration
  • Stakeholder alignment across customers, engineering, design, and investors
Systems & Tools Used
NotionShortcutSlackGitHubGoogle AnalyticsPitchbook
Cross-Functional Leadership
  • Led engineers and designers from concept to launch
  • Translated customer problems into specs, scope, and execution plans
  • Fundraising support, investor updates, stakeholder cadence, and alignment
  • AI strategy advisory, workflow audits, and implementation roadmaps
Systems & Tools Used
NotionShortcutSlackGitHubGoogle Workspace
Full-Stack Engineering
  • Frontend products with Next.js, React, TypeScript, and Tailwind
  • Backend APIs, data models, integrations, queues, and workers
  • Postgres, Redis, RabbitMQ, Docker, AWS, and production operations
  • End-to-end builds across Agent Studio, Autonomy Finance, and TakeStock
Systems & Tools Used
PythonRustFastAPINext.jsTypeScriptReactHTMLCSSTailwind CSSRabbitMQPostgresRedisDockerAWS
Agentic AI System Design & Architecture
  • Proprietary agent frameworks for finance and SMB workflow automation
  • LLM evals for accuracy, reliability, latency, cost, and edge cases
  • Tool orchestration across APIs, databases, CRMs, ERPs, and cloud services
  • Data pipelines for ingestion, enrichment, retrieval, and agent context
  • RAG, memory, guardrails, queues, workers, observability, and production deployment
Systems & Tools Used
OpenAIGeminiClaudeOpen Source ModelsPythonRustFastAPINext.jsTypeScriptReactDockerRabbitMQRedisPostgreSQLAWS
UX & Product Design
  • Research-driven UX based on market research and customer feedback
  • Web and mobile applications for AI automation and finance intelligence
  • Prototype-to-product design across Figma, React, and React Native
Systems & Tools Used
FigmaNext.jsTypeScriptReactReact NativeExpoTailwind CSSVercelAWS Amplify
What I’m learning now

Topics I’m investing time in

  • CybersecurityCore security principles and secure-by-default engineering practices.
  • AWS Cloud InfrastructureDesigning, deploying, and operating workloads on AWS.
  • Product ManagementSharper discovery, prioritization, roadmap thinking, and launch discipline.
  • NetworkingProtocols, infrastructure, and how systems communicate in practice.