Felipe Cruz
Teaching Assistant at Caltech
Pasadena, California, United States
Summary
👤
Senior🎓
Top SchoolFelipe Cruz is a Caltech-trained computer scientist with 11 years of hands-on experience in machine learning, data science, and quantitative modeling, currently serving as a Teaching Assistant for Deep Learning. He has applied ML across domains—from time-series forecasting and imputation at HRL and transformers/GNNs for NLP at JPL to quantitative research on equity exotics and factor models at Goldman Sachs. Felipe combines classroom instruction and curriculum development with practical engineering, having built online recitation infrastructure and authored homework for CS148a while hosting regular office hours. His toolkit spans RNNs/LSTMs, autoencoders, transformers, and PCA/clustering, with a strong emphasis on reproducible experimentation and feature-rich time-series analysis. Based in Pasadena, he is US/EU work-authorized and comfortable bridging academic rigor with industry-scale problem solving. An understated strength is his pattern of rotating between research, teaching, and finance roles, which sharpens both his technical depth and communication skills.
11 years of coding experience
California Institute of Technology
Chinese, English, Spanish
Github Skills (22)
pyzmq9
python-bindings9
cython8
hiveserver27
python7
byte7
zeromq7
sequence6
binder6
api6
rbm5
notebook4
validation4
collaborative-filtering4
aio4
Programming languages (3)
Github contributions (5)
felipecruz/utf8v
Dec 2015 - Apr 2024
Contributions:1 PR, 1 push, 1 comment in 8 years 5 months
sequencebytevalidationutf8validator
felipecruz/cursotimtec
Jun 2017 - Aug 2018
Notebooks de exercícios do curso timtec
Contributions:4 commits, 1 PR, 3 pushes in 1 year 1 month
pythonnotebooknotebookstimteccurso
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