Ella Kronman
Software Engineer Intern at Google
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolElla Kronman is a software engineer with a decade of hands-on experience who is currently a Google Software Engineer Intern and a TA for Columbia's Fundamentals of Computer Systems course. She has practical internship experience at Microsoft and startups, contributing to product-focused projects like Copilot for Sales and engineering internships at Uspire. A committed educator and community builder, she has contributed to NeuromatchAcademy course content—updating deep learning and computational neuroscience tutorials—demonstrating an ability to translate technical concepts into clear, teachable materials. Based in New York and studying computer science at Columbia, she pairs academic rigor with applied engineering, often working at the intersection of ML education and developer tooling. Notably, her open-source notebook edits emphasize pedagogical clarity and reproducibility, reflecting an uncommon blend of developer productivity and instructional design.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Columbia UniversityHigh School Diploma, High School Diploma at Hunter College High School
Github Skills (11)
pytorch10
jupyter-notebook10
deep-learning10
computational-neuroscience10
python10
generative-model9
data-analysis9
convolutional-neural-networks8
machine-learning8
recurrent-neural-networks7
transformers6
Programming languages (5)
Github contributions (5)
NeuromatchAcademy/course-content
Jun 2020 - Jul 2022
NMA Computational Neuroscience course
Role in this project:
Data Scientist
Data ScientistContributions:19 reviews, 255 commits, 367 PRs in 2 years 1 month
Contributions summary:Ella's commits focused on adding and updating a demo notebook that processes and formats tutorial notebooks, specifically in the context of a computational neuroscience course. Their contributions include adding a demo notebook to include open-ended answers, updating a demo to include open-ended answers, and adding more content (video, exercise, click for solutions). The code differences show changes to the structure of the notebook, including the addition of video content and content sections.
neurosciencedynamic-systemspythoncomputational-neurosciencemachine-learning
NeuromatchAcademy/course-content-dl
Apr 2021 - Jul 2022
NMA deep learning course
Role in this project:ML Engineer
ML EngineerContributions:1 review, 20 commits, 25 PRs in 1 year 3 months
Contributions summary:Ella's commits primarily involve modifications to Jupyter Notebooks within a deep learning course. These changes focus on updating and refining tutorials, particularly those related to introductory concepts and generative models. The user has also made updates to introductory materials and incorporated content from Colaboratory, indicating a focus on creating and maintaining educational resources related to deep learning techniques.
reinforcement-learning-algorithmstransformersdeep-learningrecurrent-neural-networkscontinual-learning
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