my name is Shuang Liang, my english name is Edith, you can also call me supercool.
- 👩💻 I’m currently working at Infinigence AI
- 😉 Previously studing at BUAA & CQU
- 😉 my faivorite idol is Barbie
- 🍍 my favorite fruit is pineapple
- 🌺 my personal website
- 📫 my personal email: liangshuangedith@gmail.com
- ⚡ my personal linkedin
The Foundation: Electronic Design & Hardware Engineering (2017 - 2021)
During my undergraduate years at Chongqing University, I immersed myself in electronic design competitions and TI-related hardware projects.
- End-to-End Practice: Mastered the full lifecycle of hardware development, including sensor integration, data sheet analysis, circuit design (RC matching), PCB layout, and embedded programming.
- Award-Winning: Recognized with multiple national and provincial awards in technology competitions.
detailed text and images:https://www.liangshuangsupercool.com/2022/09/09/LS'PROJECTS/
萌芽探索:电子设计与硬件基石 (2017 - 2021)
在重庆大学本科期间,我深耕电子信息领域,频繁参与各类大学生电子设计竞赛 。这段经历让我完成了从理论到实践的全栈蜕变:
- 全流程实操:从各类传感器原理调研、芯片手册深度研读,到精密电路设计(电容电感匹配)及 PCB 绘制 。
- 嵌入式开发:熟练掌握 C 语言及嵌入式编程,在国家级及校级科技竞赛中多次获奖 。
详细图文介绍:https://www.liangshuangsupercool.com/2022/09/09/LS'PROJECTS/
Academic Deep Dive: FPGA & Hardware-Software Co-design (2021 - 2024)
At Beihang University, my master's research focused on "Hardware Acceleration of Transformer Algorithms on FPGA Platforms".
- Technical Core: Specialized in Verilog, pipeline design, and memory access optimization.
- Design Philosophy: Developed a profound understanding of the symbiotic relationship between software and hardware—designing optimized hardware to carry advanced algorithms while tailoring algorithms to hardware constraints.
学术深耕:FPGA 与 Transformer 软硬件协同 (2021 - 2024)
在北京航空航天大学攻读硕士期间,我主攻《基于 FPGA 平台的 Transformer 算法硬件加速研究》 。
- 硬核技术:深入实践 Verilog 语言、流水线设计及内存访问优化 。
- 设计哲学:深刻理解了算法与硬件的共生关系。算法需要强力的硬件承载,而硬件需根据算法特性进行定制化优化 。通过软硬件协同设计,实现了模型训练、量化到硬件加速的全链路优化 。
Career Evolution: AIDC Infrastructure Expert & Product Leader (2023 - Present)
Currently serving as an AIDC Infrastructure Specialist, focusing on full-stack architecture for large-scale GPU clusters.
- Infrastructure Expertise: Deep expertise in NVIDIA GPU ecosystems (A/H/B series, DGX, SuperPOD). Expert in high-speed networking (InfiniBand/RoCE/NVLink) and storage strategies (Block/File/Object), with a proven track record of optimizing TCO for 100M+ RMB computing center projects.
- Product Leadership: Led the "0-to-1" development and operation of multiple AI Cloud Platforms, driving tens of millions in revenue through meticulous project management and continuous iterative optimization.
职业跨越:AIDC 基础设施专家与产品领航 (2023 - 至今)
目前专注于 AIDC(人工智能计算中心)基础设施全栈架构,致力于为大模型提供极致算力支撑 。
- 基础设施架构:精通 NVIDIA 全系列 GPU (A/H/B) 及其生态硬件 (DGX/SuperPOD) 。擅长高速网络 (IB/RoCE/NVLink) 与多态存储的复杂组网策略,主导过亿级算力中心项目的系统选型与拓扑优化 。
- 从 0 到 1 的产品力:曾主导多款 AI 算力云平台的研发与运营,实现了从产品设计、冷启动到千万级营收的完整闭环,具备卓越的项目管理与跨职能协作能力 。


