Nicolas D. Jimenez

Chief Executive Officer at Mathpix

Palo Alto, California, United States
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Summary

🤩
Rockstar
Nicolas D. Jimenez is the CEO of Mathpix based in Palo Alto with 12 years of software and machine learning experience, blending executive leadership with hands-on engineering. He retains active technical chops—his GitHub shows practical ML work building and refining a clean LSTM implementation in Python, including gradient checking and recurrent connections—which highlights a commitment to rigorous, learnable models. As a founder-CEO he bridges product strategy and deep technical execution, steering teams to translate research-grade ideas into usable products. Known for favoring minimal, educational code, he brings clarity to complex ML concepts while running a startup in the applied AI space.
code12 years of coding experience
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Github Skills (8)

neural-network10
machine-learning10
lstm10
python10
numpy10
deep-learning9
sequence-modeling8
tensorflow3

Programming languages (6)

TypeScriptCSSC++ShellJavaScriptPython

Github contributions (5)

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nicodjimenez/lstm

Jul 2015 - Jul 2019

Minimal, clean example of lstm neural network training in python, for learning purposes.
Role in this project:
userML Engineer
Contributions:15 commits, 11 PRs, 18 pushes in 4 years
Contributions summary:Nicolas primarily contributed to the development of an LSTM neural network in Python, demonstrating expertise in machine learning model implementation. Their work involved refactoring code, adding bias terms, and implementing recurrent connections to build a functional LSTM model. The commits also show attempts at gradient checking and the addition of test functions. The user is actively working towards making the network learn sequences.
pythondeep-learninglstmneural-networksmachine-learning
Mathpix/api-examples

Sep 2016 - Nov 2017

Mathpix API examples - converts image to latex
Contributions:22 commits, 26 pushes, 1 branch in 1 year 2 months
apilatex
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Nicolas D. Jimenez - Chief Executive Officer at Mathpix