About

Li Jinshuo

My work sits between theory and implementation. On the theoretical side, I keep structured notes on analysis, algebra, and topology, because the value of a mathematical idea often lies in how it is organized rather than in a single result. On the practical side, I build learning systems and execution tooling: agent simulations, neural search engines, and runtimes that target different hardware backends.

I care about clear explanations and honest reporting. Most of what I publish is a record of something I am actively studying or building, and I try to describe it as it actually is, including what remains unfinished.

Education

Academic path

2025 — Present

Shanghai Jiao Tong University

Undergraduate in the IEEE Honor Class, studying computer science, mathematics, physics, and engineering fundamentals.

2021 — 2024

Beijing No.4 High School

Built a foundation in rigorous problem solving and an early interest in mathematics and technology.

Interests

Areas of work

Mathematics

Analysis, algebra, and topology, with an emphasis on clear definitions, proofs, and the structure that connects them.

Machine learning & vision

Learning systems and perception, from model design and training to the details of evaluation.

Systems & heterogeneous computing

Execution runtimes and hardware-aware software across CPU, XPU, and NPU targets.

Technical writing

Structured notes and explanations that keep theory close to implementation.

Skills

Tools and subjects

Technical

PythonC++RustTeXVerilogPyTorchNumPyGitLinux

Academic

Mathematical AnalysisLinear AlgebraAbstract AlgebraTopologyDiscrete MathematicsMachine LearningComputer VisionComputer Systems