Product-Focused Tech Lead

Patrick Lau

From business judgment to product delivery. Technology that solves real business problems.

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From judgment to delivery

01 / 04

Business judgment

Which problem is worth solving?

Me
Identify the problem worth solving
AI
Organize material and support analysis
Team
Clarify the scenario with the business side

Super Individual → Super TeamConnect product judgment, critical implementation and collaborative delivery.

02 / 04

Product definition

What to build, and where to start?

Me
Set the boundaries and the path to build
AI
Test key assumptions quickly
Team
Agree on scope and goals together

03 / 04

Architecture & implementation

How to build it and implement what matters?

Me
Architecture and critical implementation
AI
Support implementation, review and testing
Team
Deliver modules by specialty

04 / 04

Product delivery

How to validate, deliver and evolve?

Me
Own delivery quality
AI
Regression checks and documentation
Team
Deliver together and keep evolving

Selected cases

Selected cases

AI products, complete applications and complex systems in practice.

More project experience

01 / 04 · Natural-language control for smart hardware

Make natural language a control interface for devices

What the user says → Intent · capability · state → Structured command, or clarification

The problem

Natural expressions do not map directly to device operations. The same instruction can need different handling depending on device capabilities and operating state.

Key judgment

Language understanding is never treated as a device action: every command stays within device capability and current state.

Delivered capabilities

Delivered an app-facing core AI service that translates natural language into structured control commands, completed integration and passed acceptance.

02 / 04 · Equipment repair knowledge assistant

Make repair answers traceable to their sources

Manuals · fault information · field knowledge → Exact + semantic retrieval → Answer linked to its sources

The problem

Repair questions draw on manuals, fault information and practical knowledge, with technical terms and fault codes requiring precise matching.

Key judgment

Every answer must trace back to a source; when material is thin or scope is unclear, the assistant confirms first instead of guessing.

Delivered capabilities

Organized repair manuals, fault information and practical knowledge into a Q&A service, linking answers to source material so users can find technical information and check its basis.

03 / 04 · Health services across user and store applications

Connect user services, store operations and commerce

User app · store app → One product architecture → Cloud services: health and commerce

The problem

As the business grew, the original application structure struggled to take on new product requirements, and local patching could no longer support continued expansion.

Key judgment

Judged that a rebuild would serve better than further patching, and connected every client through one architecture.

Delivered capabilities

Delivered user and store applications with cloud services connecting health services and commerce, completing the platform rebuild and subsequent product iterations.

04 / 04 · Financial asset management platform

Trace transactions and maintain consistent asset records

Fund flows · external notifications → Review → execute → record → Traceable transactions, consistent records

The problem

Fund flows, subscriptions, holdings and redemptions span multiple states and external services, requiring review, execution and records to stay connected.

Key judgment

Duplicate-notification handling, amount precision and transaction state are core design, not afterthoughts.

Delivered capabilities

Delivered a transaction backend covering fund flows, subscriptions, holdings and redemptions, integrated third-party custody services, and supported transaction tracing and consistency checks across fund and asset records.

01 / 04 · More project experience

Consumer device software and content platform

Connect device interaction, content adaptation and sharing

Device integration and content adaptation

Explore case
The problem
Content must meet different device requirements, while software interactions need to reflect device state and responses.
Approach and implementation
Adapted content to device requirements, included state and error feedback in interaction design, and connected software actions to device responses through integration testing.
Result
Delivered Windows companion software and a cloud content platform for device interaction, multimedia content adaptation and sharing, refining the software through feedback after releases.
Contribution
Desktop software / Device integration and content platform

02 / 04 · More project experience

Multimodal information and report generation

Turn field material into reviewable reports

Report generation and human review

Explore case
The problem
Research recordings, photos, documents and notes need to be organized into a report structure and checked.
Approach and implementation
Separated transcription, recognition and report writing, organized information around the report structure, and retained human review and additions.
Result
Combined recordings, photos, documents and notes into structured report drafts, with a shared workspace for corrections and export in business report formats.
Contribution
Multimodal processing / Report generation and human review

03 / 04 · More project experience

Medical imaging platform

Support imaging access, cross-institution sharing and workflow monitoring

Data architecture and business-flow monitoring

Explore case
The problem
Growing imaging data and cross-institution access placed increasing demands on processing, scalability and service reliability.
Approach and implementation
Balanced performance, scaling and maintenance costs in the data architecture upgrade, and extended monitoring from server health to business data flows across imaging workflows.
Result
Supported imaging access and cross-institution sharing, upgraded the data architecture, and used business data-flow monitoring and alerts to identify anomalies such as data failing to arrive for an extended period.
Contribution
Engineering leadership / Architecture and reliability

04 / 04 · More project experience

Fresh-supply multi-tenant SaaS

Connect procurement, orders and picking in one product

Multi-tenant architecture and business isolation

Explore case
The problem
Procurement, orders, warehousing and picking are closely connected. Serving multiple businesses requires accommodating workflow differences, data isolation and growing system load.
Approach and implementation
Translated shared workflows and business differences into a multi-tenant product, using a full rebuild and core architecture design to address data isolation, extensibility and growing system load.
Result
Brought procurement, orders, warehousing and picking into a multi-tenant supply-chain product, supporting connected workflows and data isolation across businesses through a product rebuild.
Contribution
Product and core architecture / Product and engineering delivery

Career line

Experience & capabilities

From complex trading systems to enterprise products and engineering organizations, then AI product practice. Experience through business evolution, with hands-on work in architecture and critical implementation.

2010–2014 Complex systems & engineering foundations

Contributed to and led trading system development, building experience in high concurrency, asynchronous processing and service-oriented architecture.

  • 2010–2014System Analyst / Java Team LeaderHigh-concurrency trading systemsLed the evolution of a high-concurrency trading system toward service-oriented architecture.

2014–2021 Product & engineering organization

Connected product planning, architecture and team delivery through successive stages of business development.

  • 2014–2021Product & Engineering Lead / Technical DirectorFresh-supply SaaS companyLed product planning and engineering, developing team collaboration and ongoing delivery practices.
  • 2014Senior EngineerTrading platformContributed to asynchronous processing and caching for high-concurrency transactions.

2021–2025 Engineering leadership & reliable delivery

Led medical product engineering, architecture and delivery, advancing reliability practices and compliance coordination.

  • 2021–2025R&D ManagerMedical imaging platformLed company-wide engineering, architecture, delivery and medical compliance coordination.

Since 2025 Independent building & collaborative delivery

Building products independently and using AI Coding in development, with a focus on AI and Agent applications.

  • Since 2025Independent product & engineeringShenzhen Haobing Xingcheng Technology Co., Ltd.Independent product development and collaborative delivery, focused on AI and Agent applications.

  1. AI-assisted product development

    Integrate AI into analysis, implementation, review and validation, while owning architecture, key decisions and delivery quality.

    AI Coding · Claude Code / Codex

  2. AI applications & controlled execution

    Combine model interpretation with business context, device capabilities and state to produce operations with clear boundaries that can be validated.

    Model integration · Context handling · Command generation

  3. Complex systems & engineering delivery

    Design services, data systems and asynchronous processing around business scale and evolving needs to support product delivery.

    Service architecture · Data systems · Multi-platform applications

Selected technologies Java / Spring · Python / FastAPI · TypeScript · React / uni-app · Flutter / Tauri · MySQL / TiDB · Redis / Docker · Claude Code / Codex

South China University of Technology · PMP credential · Enterprise AI Coding training experience: engineering collaboration, quality review and practical development workflows.

Learn more & get in touch

Contact me directly

Briefly describe the problem, who the product serves and where you would like me to contribute.

patrick.lau@foxmail.com
Send an email

Shenzhen · Remote

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This website’s AI assistant can explain Patrick’s projects, working approach and collaboration options using the public information on this site.

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01 / 03

AI / Agent product co-creation

You have a business scenario and want to turn it into a product.

Start with the business problem and product definition, validate key capabilities together, and build and deliver the product.

Reach out this way

I value collaborations with real business scenarios, clear value goals and a willingness to validate together. Clarify the problem first, then agree on how to collaborate and what to deliver.

02 / 03

Technical partnership

Your product direction is clear and you need ongoing technical involvement.

Collaborate on technical direction, architecture and engineering organization to evolve the product together.

Reach out this way

I value collaborations with real business scenarios, clear value goals and a willingness to validate together. Clarify the problem first, then agree on how to collaborate and what to deliver.

03 / 03

Product & technical advisory

You face a key decision and need judgment or a solution review.

Get judgment, solution reviews and team support for AI product positioning, technical plans and engineering practices.

Reach out this way

I value collaborations with real business scenarios, clear value goals and a willingness to validate together. Clarify the problem first, then agree on how to collaborate and what to deliver.

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