01
Algorithms and computation
I value clarity, efficiency, and robust abstractions when studying and implementing computational ideas.
SJTU IEEE Honor Class
Li Jinshuo
Personal Homepage
Welcome. I am an undergraduate at Shanghai Jiao Tong University, interested in algorithms, machine learning, computer vision, mathematics, and systems. I enjoy clear ideas, careful implementation, and polished technical work.
About
A quiet focus on depth.
My work is shaped by rigorous study and practical experimentation. I like projects that are conceptually clean, technically precise, and useful enough to be revisited and improved over time.
02
Learning systems
I am exploring machine learning and computer vision through both theory and hands-on implementation.
03
Mathematical foundation
Mathematical analysis, linear algebra, abstract algebra, and discrete mathematics guide the way I reason.
Education
Academic path.
A concise record of my education, from high school foundations to current undergraduate study.
2025 — Present
Shanghai Jiao Tong University
Undergraduate student in IEEE Honor Class, focusing on computer science, mathematics, physics, and engineering fundamentals.
2021 — 2024
Beijing No.4 High School
Built a strong academic foundation and developed an early interest in rigorous problem-solving and technology.
Selected Work
Projects and notes.
A small selection of repositories that reflect my current interests in mathematics, tools, systems, and knowledge sharing.
Matrix Library
Repo ↗A compact linear algebra toolkit in pure Python, organized around a unified Matrix class.
Mathematical Note
Repo ↗A structured mathematical note covering analysis, linear algebra, abstract algebra, and related topics.
Super Calculator
Repo ↗A modern Python application for advanced mathematics, built with PyQt6 and NumPy.
FACC
Repo ↗FPGA Based Assembly Computer: a custom computer with its own assembly language and toolchain.
SJTU IEEE Freshman Notes
Repo ↗Course notes and materials for mathematical analysis, linear algebra, discrete mathematics, and programming.
Learning Raspberry Pi
Repo ↗Source code and notes from learning Raspberry Pi 5, embedded programming, and practical computing.
Skills
Tools for thinking and building.
A compact overview of the technical tools and academic areas reflected in my work.
Technical stack
Python
C++
TeX
Verilog
PyQt6
NumPy
Git
Raspberry Pi
Academic interests
Algorithms
Machine Learning
Computer Vision
Linear Algebra
Mathematical Analysis
Abstract Algebra
Discrete Mathematics
Analytical Mechanics
Study deeply, build carefully, and keep theory close to implementation.
Contact
Let’s connect.
I am open to discussing technology, research ideas, projects, and potential collaborations.