Angelo Zhang

Full-stack & platform engineer · Multiple AI products, one stack

Twelve years of consumer software. Currently building and operating production AI products as an independent engineer.

Open to staff IC, founding engineer, and architect conversations

Now

Several production AI products are in active operation. I split my time between product judgment for the next quarter, the unglamorous infrastructure work that lets a one-person team feel like a small team, and a quiet rewrite of the backbone they share.

Open to staff-level or founding-engineer conversations where the bar is shipping, not slideware.

I am a hands-on full-stack engineer and independent product builder. I take AI products from blank file to live operation — product judgment, system architecture, full-stack execution, release, and ongoing care of the thing after launch.

My strongest work is turning ambiguous early ideas into systems that survive contact with real users: deciding what is worth building, shaping the boundaries, shipping the first version, keeping it alive long enough to learn what is actually worth doing next.

I increasingly build platforms that host multiple products rather than building one product at a time. The same monorepo, shared libraries, shared service interfaces, and shared knowledge base now power several public AI products with a team of one — turning the marginal cost of trying a new product from months into weeks.

Before going independent, I spent five years building consumer Android applications at Sogou, Qunar, and Ctrip. That mobile-era discipline — release quality, performance, the user with a slow phone in a quiet city — still shapes how I work.

Core strengths

  • 0-to-1 product delivery

    Turns vague product direction into shipped, usable systems with a clear path for iteration.

  • System-level architecture

    Balances speed with long-term maintainability so systems can be launched, operated, and evolved.

  • Production ownership

    Owns release readiness, recovery paths, observability, and ongoing quality — not just the first commit.

  • Consumer product craft

    Carries mobile-era instincts for reliability, interaction quality, performance, and disciplined releases.

Capabilities

  • AI product architecture

    Turning AI capabilities into product systems that hold up under real users, not demo videos.

    Multi-layered memory · multi-provider LLM orchestration · stream-first chat UX · tenant-isolated billing rules

  • 0-to-1 delivery

    Closing the long tail from working prototype to released product — release governance, recovery, drift, the work most plans under-budget.

    Local CI parity · declarative expand/contract migrations · idempotent retries · observable failure paths

  • Full-stack execution

    Moving fluidly from interaction craft to backend services, data shape, and live operating paths.

    TypeScript end-to-end · React Server Components · long-running async jobs · webhook + cron recovery

  • Engineering discipline

    Treating boundaries, isolation, and replay-safety as first-class product properties, not afterthoughts.

    Auth boundaries at the edge · tenant-scoped data · feature-flagged rollouts · environment drift detection

  • AI-native operating model

    Treating AI as a first-class collaborator: MCP interfaces replace internal dashboards, a code-synced knowledge base feeds product and engineering AI work, and shared infrastructure makes additional products cheap to launch.

    MCP tool surfaces · code-synced KB repository · multi-product monorepo · shared platform libraries

Selected work

Writing

Short essays on building AI products solo, the discipline that production demands, and what a decade of consumer software left behind.

Experience

  1. 2024 — Present
    Independent Engineer · Founder— Self-employed

    Building and operating public AI products independently, with full ownership from product definition and system design to live service.

    • Shipped LivelyVerse, LeyLine Pro, Mendr, and Migo Read from blank slate to public websites and usable product surfaces.
    • Own product, design, engineering, launch, support, and iteration without a large team, turning early ideas into operated products.
    • Prioritize durable quality, clear boundaries, disciplined releases, and real feedback over one-off technical spectacle.
  2. 2018 — 2023
    Independent Product Engineering— Various projects

    Expanded from mobile specialist into full-stack product engineering across product, interface, service, deployment, and operation.

    • Built the breadth needed to connect product judgment, interface implementation, service workflows, deployment, and operating feedback.
    • Developed a pragmatic builder style: small releases, direct feedback, clear tradeoffs, and ownership of the final outcome.
  3. 2015 — 2018
    Senior Android Engineer— Qunar · Ctrip

    Worked on mature consumer travel applications where reliability, performance, and release quality mattered.

    • Delivered Android product work in cross-functional environments with strong QA and release expectations.
    • Built long-term instincts for production stability, performance, and polished mobile interaction details.
  4. 2013 — 2015
    Android Engineer— Sogou

    Started professional engineering career building consumer Android application features.

    • Learned to ship within established product and engineering standards early in a large-company environment.

Education

  1. 2009 — 2013
    Southwest University of Science and Technology — Bachelor's degree, Communication Engineering

Get in touch

© 2026 Angelo Zhang