Ronny H
Technical Content Specialist, School Of AI & Data Science
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRonny H is a Technical Content Specialist at Udacity’s School of AI & Data Science with seven years of experience blending technical engineering and educational content development. He builds practical ML and NLP learning materials and has contributed hands-on notebooks and pipelines—implementing Bag-of-Words, TF-IDF, grid search, data augmentation, and dataset tooling—to well-known Udacity deep learning and data science repos. A former founder and ex-Head of Finance & IT, he pairs product and operational savvy with technical depth, currently advancing his MS in Computer Science at Georgia Tech. Based in San Francisco, he focuses on turning complex ML concepts into reproducible, classroom-ready projects and often implements pragmatic workarounds to accelerate student progress.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Arts with Honors, Economics, Bachelor of Arts with Honors, Economics at University of California, BerkeleyOnline Master of Science - MS, Computer Science, Online Master of Science - MS, Computer Science at Georgia Institute of TechnologyMaster of Business Administration (MBA), Master of Business Administration (MBA) at University of California, Berkeley - Walter A. Haas School of Business
Github Skills (16)
neural-network10
scikit-learn10
pytorch10
jupyter-notebook10
nlp10
deep-learning10
data-pipelines10
data-pipeline10
python10
pipe10
pipeline10
scikit10
data-science9
pandas9
collaborative-filtering9
Programming languages (10)
Github contributions (5)
udacity/DSND_Term2
Feb 2021 - Nov 2022
Contains files related to content and project of DSND Term 2
Role in this project:
Data Scientist
Data ScientistContributions:4 reviews, 29 commits, 28 PRs in 1 year 9 months
Contributions summary:Ronny contributed Jupyter Notebooks for NLP and Machine Learning Pipelines exercises. Their work involved implementing Bag of Words, TF-IDF, and grid search techniques for text processing and model optimization. The user also replaced a collaborative filtering solution and updated tests.
data-sciencedsndmachine-learningterm
udacity/deep-learning-v2-pytorch
Mar 2021 - Oct 2022
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Role in this project:ML Engineer
ML EngineerContributions:4 reviews, 14 commits, 12 PRs in 1 year 6 months
Contributions summary:Ronny made several contributions related to deep learning projects within the repository. The user added a workaround script to download the MNIST dataset, a common task in machine learning projects. Additional changes include removing solutions in exercise notebooks, and updating the dlnd_face_generation notebook. The user also added data augmentation techniques for the training and validation datasets in a CNN project.
pytorchstyle-transferdeep-learning-nanodegreenanodegreeudacity
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.