Caitlyn Chen is a Software Engineer II based in the New York City area with 11 years of experience building reliable systems across risk engineering, revenue/financial tooling, and safety support at companies like Rippling, Stripe, and Amazon Robotics. She blends practical product experience with strong technical chops—contributing to open-source data-visualization tooling (lux) that helps automatically visualize pandas DataFrames and improving Altair-based plotting behavior. A Columbia CS graduate with minors in applied math and entrepreneurship, Caitlyn has taught AI courses and led cohort-based ML instruction, demonstrating an ability to translate complex concepts for large and diverse audiences. Her background includes venture and investment roles, giving her a rare cross-functional fluency between engineering, product, and business strategy. Known for shipping pragmatic solutions in fast-paced environments, she pairs data-driven thinking with a curiosity for visualization and tooling that makes analytics more accessible. Outside core engineering work she maintains a public-facing passion portfolio at caitlynchen.com, signaling an interest in sharing knowledge and projects.
11 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at The Spence School
Number Theory, Number Theory at PROMYS (Program in Mathematics for Young Scientists)
Bachelor of Science - BS Computer Science Minors in Applied Math and Entrepreneurship & Innovation, Bachelor of Science - BS Computer Science Minors in Applied Math and Entrepreneurship & Innovation at Columbia University
Automatically visualize your pandas dataframe via a single print! 📊 💡
Role in this project:
Data Scientist
Contributions:31 reviews, 29 commits, 33 PRs in 11 months
Contributions summary:Caitlyn's commits primarily focus on enhancing the visualization capabilities of the lux-org/lux repository, a tool for automatically visualizing pandas dataframes. The contributions involve modifying and adding features related to plotting histograms and scatter plots within the Altair visualization library. They also include implementing and adjusting features to correctly render bar charts.
Contributions:75 pushes, 1 branch in 4 years 9 months
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