Eddy Jiang
Project Manager at Stanford Management
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEddy Jiang is a project manager and former consultant with eight years of technical and product-focused experience, currently leading small teams at Stanford Management from Palo Alto. He pairs a strong Computer Science and Mathematics background from Stanford (3.93 GPA) with hands-on data and product work—previous roles include automating analytics at Super Dispatch and contributing as an ML engineer to the prominent open-source quantum ML library PennyLane. Eddy has proven ability to translate complex technical tasks into business outcomes, having improved payment recovery processes and built dashboards that informed cross-functional decisions. He brings UX and prototyping experience from consulting engagements alongside product internship exposure at Juniper Networks, enabling a user-centered yet metrics-driven approach. Notably, his open-source contributions extend beyond code to tests and documentation, signaling attention to long-term maintainability and developer experience. Based in Palo Alto, he blends startup-style execution with disciplined stakeholder management and a knack for surfacing practical solutions from research-grade tech.
8 years of coding experience
High School Diploma, 4.86, High School Diploma, 4.86 at Blue Valley High SchoolBachelor of Science - BS, Computer Science and Mathematics, 3.93, Bachelor of Science - BS, Computer Science and Mathematics, 3.93 at Stanford University
Github Skills (11)
quantum-computing10
qml10
machine-learning10
q-learning10
python10
tensorflow9
jax9
pytorch9
automatic-differentiation9
autograd8
optimization7
Programming languages (5)
Github contributions (5)
PennyLaneAI/pennylane
Jan 2022 - Dec 2022
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Role in this project:
ML Engineer
ML EngineerContributions:819 reviews, 200 commits, 190 PRs in 10 months
Contributions summary:Eddy contributed to the development of the PennyLane library by implementing and extending existing functionalities. Specifically, they added support for batching in the BasisStatePreparation template and implemented a method to obtain the best differentiation method string. Furthermore, the user worked on expanding the documentation and improving the tests associated with the library, including introducing new features to the supported configurations.
pythonautomatic-differentiationdifferentiable-computingcomputerstensorflow
eddddddy/AutoAttack
Oct 2019 - Dec 2022
Contributions:8 PRs, 10 pushes, 2 branches in 3 years 2 months
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