Prithvi Prabhu - Chief Technologist at H2O.ai

Prithvi Prabhu

Chief Technologist at H2O.ai

Mountain View, California, United States

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Summary

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Rockstar

🎓

Top School

Prithvi Prabhu is a Chief Technologist with 12 years of hands-on experience building high-performance, interactive analytics and AI systems from the browser to the cluster. Based in Mountain View, he was engineer #8 at H2O.ai and now leads development of H2O GPTe—an in-browser, LLM-driven document search and exploration system—and has driven open-source projects like H2O Wave and H2O-3. His background spans founding Plot.io, architecting Platfora’s canvas-based visual analytics, and shipping production ML platforms such as Driverless AI, demonstrating a rare blend of low-level engineering, interactive graphics, and applied machine learning. A prolific front-end and full-stack contributor to well-known repos, he focuses on usability improvements, real-time UI components, and scalable data workflows. Colleagues value him for turning complex visualization and ML requirements into fast, elegant user experiences and for recruiting top engineering talent.

12 years of coding experience

13 years of employment as a software developer

Bachelor of Engineering Mech., Bachelor of Engineering Mech. at Manipal Institute of Technology

Stackoverflow

Stats

460reputation

37kreached

9answers

4questions

Github Skills (24)

knockout10

javascript10

coffeescript10

typescript10

ui-design10

uid10

knockoutjs10

front-end-development10

typescript-types10

typescripts10

web-development10

react10

data-visualization8

documentation8

data-visualisation8

Programming languages (6)

TypeScriptJavaScriptGoHTMLJupyter NotebookPython

Github contributions (5)

h2oai/wave

May 2020 - Nov 2022

Realtime Web Apps and Dashboards for Python and R

Role in this project:

Full-stack Developer

Contributions:262 reviews, 1134 commits, 139 PRs in 2 years 6 months

Contributions summary:Prithvi contributed extensively to the H2O Wave project, primarily focused on developing UI components and implementing features related to page layout and user interaction within the front-end. Their work involved designing and implementing interactive components like toolbars, and handling user input. Furthermore, they demonstrated a strong understanding of front-end development using TypeScript, and integration with backend logic. They also contributed to improving documentation.

realtimepythondashboardsweb-appsr-and-python

h2oai/h2o-3

Jun 2014 - Aug 2017

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Role in this project:

Front-end Developer

Contributions:440 commits, 1 PR, 237 pushes in 3 years 2 months

Contributions summary:Prithvi primarily focused on enhancing the H2O-3 front-end, making significant contributions to the user interface. The commits reveal the implementation of a scoring view, an import files dialog with multi-file support, and the integration of a frame view with /3/Frames. They also added column name editors and created tooltips and charting improvements, indicating a focus on improving usability.

xgboostgampythonk-meansautoencoders

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