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

Liu Tianyi

I build the platforms that make low-level engineering scale — turning slow, manual, system-level work like driver builds, firmware tests, and crash analysis into automated tooling across the whole stack. Folding AI into the workflow is a strength of mine, too: with AI in the loop, the speed of turning ideas into shipped work scales exponentially.我搭建让底层工程规模化的平台——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 融合进工作流中也是我的强项，依托于 AI，想法落地的效率呈指数级倍增。

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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。

What I actually do is turn messy, manual, low-level engineering into platforms — build/test/release pipelines, automated crash analysis, and knowledge that compounds. I'm comfortable from the driver and CI layers up to services and UI, and I reach for AI when it makes the analysis faster or the decision sharper. C#, C++, Python, Go; WinDbg to Docker.我真正做的，是把杂乱、重复、依赖人工的底层工程抽象成平台——构建/测试/发布流水线、自动化崩溃分析，以及会不断复利的知识沉淀。我能在驱动、CI 层与服务、UI 层之间自如协作，并在能让分析更快、决策更准的地方引入 AI。C#、C++、Python、Go；从 WinDbg 到 Docker。

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 + rule-engine analysis behind my platforms.自动化、工具，以及平台背后的 LLM + 规则引擎分析。
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。

1,806 contributions in the last year 过去一年共 1,806 次贡献

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