Weijie Chen
Philadelphia, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolWeijie Chen is a Machine Learning and Software Engineer with six years of experience building AI-driven features and scalable full-stack systems, particularly in AEC and high-throughput data environments. He has hands-on expertise integrating generative models (CycleGAN, StyleGAN), optimizing inference for real-time UX, and accelerating algorithm deployment through reusable optimization templates that cut rollout time by 80%. Comfortable across the stack, he has implemented asynchronous front-end techniques, designed structured JSON APIs backed by local NoSQL stores, and built streaming filters on AWS Kinesis for gigabytes-per-second traffic. A strong collaborator and mentor, he leads code reviews and cross-functional integration testing to ensure production stability. His open educational work—linear algebra lecture notes with Python notebooks—signals a rare blend of applied ML engineering and commitment to clear, teachable technical foundations.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, GPA: 3.88, Bachelor of Science - BS, Computer Science, GPA: 3.88 at Drexel University College of Computing & Informatics
Github Skills (12)
data-visualizations10
scipy10
data-visualization10
data-visualisation10
python10
linear-algebra10
sympy10
numpy10
jupyter9
eigenvector8
eigenvalue8
svd7
Programming languages (4)
Github contributions (5)
weijie-chen/Linear-Algebra-With-Python
Jun 2020 - Jan 2023
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Role in this project:
Data Scientist
Data ScientistContributions:117 commits, 1 PR, 183 pushes in 2 years 7 months
Contributions summary:Weijie's commits primarily involve adding and modifying Jupyter Notebook files to cover linear algebra concepts with Python. The files include detailed explanations, equations, and Python code for visualizing and solving problems in linear algebra, such as systems of equations, matrix operations, determinants, and the Gram-Schmidt process. The contributions strongly suggest a focus on data science, with the integration of Python libraries such as NumPy, SciPy, and SymPy to enhance understanding of fundamental linear algebra concepts.
data-sciencelinear-algebrapythonvisualizationmathematics
weijie-chen/Probability_Theory
Jun 2020 - Jan 2022
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
Contributions:32 commits, 31 pushes, 1 branch in 1 year 7 months
mathematicsprobability-theoryprobability-distributionprobabilityprobabilistic-models
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