Platform & Full-Stack Engineer平台与全栈工程师

Liu Tianyi

I read the underlying needs behind the data and turn routine work into systems that run efficiently on their own. I focus on scaling low-level engineering delivery and building team platforms, abstracting slow, repetitive, human-dependent systems work like driver builds, firmware tests, and crash analysis into automation tools that span the full technical stack. By folding AI into the workflow, the speed of turning innovative ideas into shipped work compounds dramatically.洞悉数据背后的底层需求，赋能 routine work 高效自动运转——我专注于底层工程规模化交付、团队平台构建。把驱动构建、固件测试、崩溃分析这类缓慢、重复、依赖人工的系统级工作，抽象成贯穿整个技术栈的自动化工具。将 AI 融合进工作流，应用创新的落地效率呈指数级倍增。

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About关于

A bit about me关于我

I'm Liu Tianyi — a platform and full-stack engineer based in Shanghai. I work on test infrastructure and system software: at Lenovo I own driver and platform tooling for the Windows core stack — Display, Graphics, and Power — behind Yoga and ThinkBook. Before that, at Quanta, I built the EFI/UEFI firmware test infrastructure for Apple MacBook, working directly with Apple's engineering team.我是刘天义——一名常驻上海的平台与全栈工程师。我专注于测试基础设施与系统软件：在联想，我负责 Windows 核心栈（Display、Graphics、Power）的驱动与平台工具，支撑 Yoga 与 ThinkBook；此前在广达，我为 Apple MacBook 搭建 EFI/UEFI 固件测试基础设施，直接与 Apple 工程团队协作。

Abstracting complex needs into reusable solutions, and integrating repetitive, human-dependent work into automated workflows, is one of the ways I get my endorphins. I move comfortably across driver development, Windows services, automated testing and certification, and IHV-OEM collaboration; I also enjoy creating in innovative platform applications, full-stack web, Docker, and all kinds of tools. C#, C++, Python, Go, and Node.js show up widely across my projects, and agents with many different skills are part of the force I like to command.将复杂的需求抽象为通用的解决方案、将重复且依赖人工的事务整合为自动化的工作流——这是我获取内啡肽的重要方式。我能在驱动程序开发、windows 服务、自动化测试与认证、IHV-OEM 中自如协作，也可以在创新平台应用、全栈 web、docker 以及各种 tools 中自由创作发挥。C#、C++、Python、Go、Nodejs 在我的项目中广泛应用，具备各种 skills 的各色 agent 皆为我的麾下壮士。

Work作品

Projects项目

Platforms and tooling I've built — automated crash analysis, driver delivery pipelines, and the systems work that turns manual engineering into something that scales.我做过的平台与工具——自动化崩溃分析、驱动交付流水线，以及把人工工程变成可规模化系统的底层工作。

Skills技能

Skillset技能栈

The tools I reach for. Every project adds something new.我常用的工具。每个项目都会增添一些新东西。

C / C++ Systems and driver-adjacent work on the Windows core stack.Windows 核心栈上的系统与驱动相关工作。
Python Automation, tooling, and the LLM + Windbg analysis engine behind my platforms.自动化、工具，以及平台背后的 LLM + Windbg分析引擎。
C# / .NET Internal platforms, services, and desktop tooling.内部平台、服务与桌面工具。
Go Fast, deployable services and CLIs.快速、易部署的服务与 CLI。
CI/CD Build, test, and release pipelines for drivers, firmware, and platforms.驱动、固件与平台的构建、测试、发布流水线。
WDDM / WinDbg Windows driver model, crash-dump and symbol-level debugging.Windows 驱动模型，崩溃转储与符号级调试。
WHQL / HLK Driver certification, multi-arch testing, signing, Windows Update.驱动认证、多架构测试、签名与 Windows Update。
Docker / Hyper-V Reproducible build, test, and lab environments.可复现的构建、测试与实验环境。

Experience经历

Where I've worked工作经历

Lenovo

Nov 2022 — Present

Software Engineer — Test Infrastructure / System Software软件工程师 — 测试基础设施 / 系统软件

  • Core Windows platform and driver-infrastructure engineer for Lenovo’s consumer line — Display, Graphics, and Power modules behind Yoga and ThinkBook mass production.联想消费级产品线的 Windows 平台与驱动基础设施核心工程师——负责 Display、Graphics、Power 模块，支撑 Yoga 与 ThinkBook 量产。
  • Designed and shipped the CI/CD and automated-test infrastructure covering driver build, validation, certification, and release.设计并落地覆盖驱动构建、验证、认证与发布的 CI/CD 与自动化测试基础设施。
  • Own WHQL certification and release for 10+ drivers: HLK setup, multi-arch loop testing, signing, and Windows Update — 100% compliant delivery.全面负责 10+ 驱动的 WHQL 认证与发布：HLK 搭建、多架构循环测试、签名与 Windows Update——100% 合规交付。
  • Drive system-level root-cause analysis down through WDDM, the driver stack, and hardware interaction; tune performance and power during NPI.主导系统级根因分析，深入 WDDM、驱动栈与硬件交互层；在 NPI 阶段调优性能与功耗。
  • Brought AI into test and analysis engineering, moving the team from executing tests toward running an engineering platform.将 AI 引入测试与分析工程，推动团队从“执行测试”转向“运营工程平台”。

Quanta

Oct 2020 — Feb 2022

EFI/UEFI Firmware Test Infrastructure & System DebuggingEFI/UEFI 固件测试基础设施与系统调试

  • Owned EFI/UEFI firmware test infrastructure and QA for Apple MacBook — cross-site, cross-region test flows and multiple Dry Run cycles before mass production.负责 Apple MacBook 的 EFI/UEFI 固件测试基础设施与质量保障——跨站点、跨地域测试流程，量产前多轮 Dry Run。
  • Root-caused complex firmware and system issues from logs and core dumps; built layered validation and regression plans to speed R&D fixes.基于日志与 Core Dump 对复杂固件与系统问题做根因定位；制定分层验证与回归方案，加速研发修复。
  • EFI test technical lead across hardware, BIOS, and key-parts teams; interfaced directly with Apple’s engineering team on version iteration and quality.EFI 测试技术接口人，协同硬件、BIOS 与关键部件团队；直接对接 Apple 工程团队进行版本迭代与质量评估。
  • Automated the test flow with Python tooling, cutting manual effort and human error.用 Python 工具自动化测试流程，降低人工投入与人为误差。

Open Source开源

GitHub ActivityGitHub 活跃度

A year of commits, reviews, and late-night refactors.一年的提交、评审，和深夜重构。

1,808 contributions in the last year 过去一年共 1,808 次贡献

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