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Harshith Kulkarni

PROFILE

Harshith Kulkarni

Over four months, contributed to keras-team repositories by building end-to-end machine learning workflows and modernizing infrastructure. Developed a DLRM tutorial for keras-io, implementing data preprocessing, embedding-based models, and feature interaction visualizations using Python and Jupyter Notebook. Led Keras 3 migration across tutorials, resolving API incompatibilities and updating documentation for maintainability. In keras-hub, delivered Safetensors export for Gemma3 text models, integrating tokenizer handling and robust test coverage. Enhanced CI/CD pipelines in keras by establishing TPU test frameworks with Docker and GitHub Actions, expanding test coverage and improving reliability. Work emphasized reproducibility, onboarding, and production-readiness across deep learning projects.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

7Total
Bugs
2
Commits
7
Features
4
Lines of code
4,909
Activity Months4

Work History

February 2026

2 Commits • 1 Features

Feb 1, 2026

February 2026: Delivered Keras 3 migration across keras-io tutorials and examples and migrated ctc_asr from Keras 2 to Keras 3. Resolved API incompatibilities, modernized code paths, and regenerated notebooks/docs. Result: consistent, production-ready tutorials that reduce downstream migration friction and improve maintainability for users adopting Keras 3 and ASR workflows.

January 2026

2 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary for keras-hub: Delivered a Safetensors export feature for Gemma3 text models with updated configuration and tokenizer handling, along with robust test coverage. Stabilized codebase by restoring Transformer compatibility and removing a test skip, reducing CI risk. Expanded testing coverage for export and tokenizer paths and reinforced configuration management to support future feature work.

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025 (2025-11) monthly summary for keras-team/keras focused on enabling reliable TPU testing, expanding test coverage, and strengthening CI/CD.

September 2025

2 Commits • 1 Features

Sep 1, 2025

September 2025 summary for keras-io: Delivered an end-to-end DLRM Tutorial/Example (KerasRS) on MovieLens 100K, including a Python script, Jupyter notebook, data preprocessing, embedding-based model with DotInteraction, and feature-interaction visualization. Fixed local image paths for the DLRM architecture diagram to improve offline reproducibility. These deliverables improve onboarding, reproducibility, and showcase KerasRS capabilities for recommender systems.

Activity

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Quality Metrics

Correctness88.6%
Maintainability85.8%
Architecture88.6%
Performance82.8%
AI Usage34.2%

Skills & Technologies

Programming Languages

Jupyter NotebookMarkdownPython

Technical Skills

CI/CDCode RefactoringData PreprocessingData ProcessingData VisualizationDeep LearningDockerDocumentationHugging FaceKerasMachine LearningModel ExportModel TrainingPython DevelopmentRecommendation Systems

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

keras-team/keras-io

Sep 2025 Feb 2026
2 Months active

Languages Used

Jupyter NotebookMarkdownPython

Technical Skills

Code RefactoringData PreprocessingData VisualizationDeep LearningDocumentationKeras

keras-team/keras-hub

Jan 2026 Jan 2026
1 Month active

Languages Used

Python

Technical Skills

Deep LearningHugging FaceKerasMachine LearningModel ExportPython Development

keras-team/keras

Nov 2025 Nov 2025
1 Month active

Languages Used

Python

Technical Skills

CI/CDDockerMachine LearningTesting