Nicolas D. Jimenez
Chief Executive Officer at Mathpix
Palo Alto, California, United States
Summary
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RockstarNicolas 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.
13 years of coding experience
Github Skills (8)
neural-network10
machine-learning10
lstm10
python10
numpy10
deep-learning9
sequence-modeling8
tensorflow3
Programming languages (8)
Github contributions (5)
nicodjimenez/lstm
Jul 2015 - Jul 2019
Minimal, clean example of lstm neural network training in python, for learning purposes.
Role in this project:
ML Engineer
ML EngineerContributions: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.
lstmneural-networkpython
nicodjimenez/nicodjimenez.github.io
Aug 2015 - Sep 2022
Contributions:28 commits, 29 pushes, 1 branch in 7 years 2 months
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