Patrick Tsai
Software Engineer at Vesta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolPatrick Tsai is a software engineer with 11 years of experience, currently building products in New York and recently joining Vesta after a multi-year staff engineering role at Ladder Life. He blends backend engineering and test automation expertise—evidenced by contributions to the popular tinygrad project where he improved core Python operations, arithmetic correctness, and testing infrastructure. Trained as an electrical engineer (BSE/MSE, University of Michigan), he applies a hardware-aware mindset to software reliability and performance work. Patrick favors shipping robust, well-tested systems and has a knack for debugging subtle numeric issues like overflow and integer-division behavior. Colleagues rely on him for pragmatic optimizations that yield measurable improvements, such as arange performance gains. He’s approachable and responsive—if you send a message, he most likely replies.
11 years of coding experience
7 years of employment as a software developer
MSE Electrical Engineering, MSE Electrical Engineering at University of Michigan
Stackoverflow
750reputation
26kreached
21answers
4questions
Github Skills (17)
python10
testing10
numpy10
machine-learning9
data-structures8
data-structure8
algorithms8
algorithm8
pytorch7
socket6
nodejs6
jquery6
gruntjs6
socket-io6
npm6
Programming languages (10)
Github contributions (5)
tinygrad/tinygrad
Feb 2024 - Apr 2024
You like pytorch? You like micrograd? You love tinygrad! ❤️
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:9 reviews, 11 PRs, 37 comments in 2 months
Contributions summary:Patrick primarily contributed to the core functionality of the tinygrad project. They focused on debugging and improving the Python-based operations within the project, including addressing overflow issues and refining the integer division behavior. The user also significantly contributed to the testing infrastructure, adding and modifying test cases to ensure the correctness of data type conversions and arithmetic operations. Furthermore, they implemented optimizations related to the arange function.
deep-learningpytorchmicrograd
patosai/slam
Mar 2020 - Aug 2021
Contributions:58 commits, 45 pushes, 1 branch in 1 year 5 months
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