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Quant Dev @ Scientech Research | M.Eng. @ UC Berkeley (EECS) | B.Eng. @SJTU-SE | Ex intern - @Tencent WeChat, @Intel, @ WizardQuant, @MinghongInvestment
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University of California
Embedded Systems Engineer
June 29, 2026 – Present
accelerator_disaggregation
January 22, 2025 – August 15, 2025
accelerator_disaggregation — GitHub repository
View Projectzero_copy_GPU
November 26, 2023 – February 26, 2025
Zero copy data movement from network to NVIDIA GPUs using zero copy TCP in userspace
View ProjectMinik8s
April 22, 2023 – November 20, 2023
Minik8s is a container orchestration tool like Kubernetes, which can manage containers that meet the CRI interface on multiple machines, supporting basic features such as container lifecycle management, dynamic and automatic scaling, with Serverless platform integration.
View ProjectTigerCompiler
January 14, 2023 – January 18, 2023
A compiler for Tiger language includes lexical analysis using flexc++, parsing using Bisonc++, type checking, building abstract syntax tree, instruction selection, register allocation and garbage collection, can produce complete assembly code on X86-64 CPU
View ProjectChfs-File-System
October 1, 2022 – January 18, 2023
Chfs File System (A distributed file system similar to GFS, with Raft and MapReduce constructed on it)
View ProjectFootprint
September 11, 2022 – January 18, 2023
Android side frontend of a footprint recording App based on Amap API (with React Native)
View ProjectHouseFindingOnMapApp
September 11, 2022 – November 27, 2023
Rent Now is the Android side of a house finding App based on Amap (with flutter)
View ProjectLSM-KV
April 3, 2022 – September 11, 2022
A simple implementation of LSM Tree (Log-structured Merge Tree) in C++
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on deep technical, low-level systems, and performance-critical applications, which aligns well with the demands of an Embedded Systems Engineer role. The diversity of projects within this niche (OS, compilers, file systems, container orchestration, GPU acceleration) shows a broad interest and capability in core computer science areas. However, the lack of team-based projects or open-source contributions beyond personal repositories makes it difficult to assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions are concise, indicating a direct communication style. The sheer volume and complexity of personal projects suggest strong self-motivation, problem-solving abilities, and a proactive learning approach. However, without psychometric test results, it's difficult to assess stress handling, teamwork, or work attitude.