Daniel Legorreta
Data Engineer
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolDaniel Legorreta is a Data Engineer in Austin with 10 years of experience building end-to-end machine learning systems, from data collection and cleaning to model training, validation and production deployment. At FruitScout he focuses on improving data pipelines, optimizing infrastructure and advancing deep learning models, while his independent consulting work spans NLP, forecasting and anomaly detection across distributed and non-distributed environments. He has a strong background in big data platforms (Hive, Impala, Spark, Cloudera) from work at ISBAN and a track record of automating analytics and reporting to drive operational insights. An active Kaggle competitor with several top- percentile finishes, he combines rigorous mathematical training (Licenciado in Theoretical Physics and Mathematics) with pragmatic engineering to deliver measurable business impact. Notably, he pairs research-like curiosity with production discipline—translating complex models into robust, scalable systems.
10 years of coding experience
2 years of employment as a software developer
The National Polytechnic Institute of Mexico
English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (26)
python8
pandas8
autoencoder8
pytorch7
face7
manipulation7
pca7
machine-learning7
gpu7
deep-learning7
frame7
data-analysis7
data-structures7
nlp6
fastai6
Programming languages (3)
Github contributions (5)
dlegor/rad
Oct 2018 - May 2020
Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
Contributions:36 commits, 4 PRs, 32 pushes in 1 year 7 months
pytorchautoencoderdeep-learningmachine-learningtime-series
dlegor/Tutorial-Pandas-Python
Mar 2016 - Jun 2017
Contributions:35 commits, 34 pushes, 1 branch in 1 year 2 months
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