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Michał Koruszowic

PROFILE

Michał Koruszowic

Over five months, contributed to IBM/watsonx-ai-samples and deepsense-ai/ragbits by building features that improved AI model deployment, documentation, and user experience. Enhanced ONNX model conversion workflows and documentation using Python and Jupyter, enabling seamless export from frameworks like TensorFlow, Keras, LightGBM, and scikit-learn. Delivered real-time streaming support for AI agents and standardized deployment guidance to accelerate onboarding. In deepsense-ai/ragbits, improved FastAPI dependency management, refactored chat UI components with React and JavaScript, and strengthened security through dependency auditing and CI/CD enhancements. Focused on maintainability, deployment reliability, and reducing onboarding friction for data scientists and engineers across both repositories.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

11Total
Bugs
1
Commits
11
Features
6
Lines of code
49,637
Activity Months5

Your Network

38 people

Work History

March 2026

6 Commits • 2 Features

Mar 1, 2026

March 2026 monthly wrap-up for deepsense-ai/ragbits: Delivered user-facing UI/auth enhancements, hardened security posture through dependency management, and streamlined CI/CD/release workflows to accelerate and stabilize deployments. Focused on business value, maintainability, and release quality.

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026 monthly summary for deepsense-ai/ragbits. Key accomplishment: Dependency-management improvement for FastAPI by extending installation with standard extras to ensure all required packages are installed for optimal functionality.

February 2025

2 Commits • 1 Features

Feb 1, 2025

February 2025 monthly summary for IBM/watsonx-ai-samples focusing on feature delivery that enhances ONNX deployment workflows. Delivered end-to-end ONNX model conversion notebooks for LightGBM, CatBoost, and scikit-learn, unified and standardized existing notebooks for consistency, and updated HTML representations and deployment guidance to streamline ONNX-based scikit-learn workflows (installation, training, conversion, deployment) in watsonx.ai Runtime. No major bugs fixed this month; emphasis was on documentation and notebook improvements to boost developer productivity and deployment reliability.

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 focused on delivering business value through real-time streaming capabilities in the langgraph-react-agent template within IBM/watsonx-ai-samples. Implemented streaming support to enable dynamic AI responses and improved user experience, with a stable integration ready for broader adoption. No major bugs fixed this month; stabilization and iteration around streaming were prioritized to accelerate time-to-value for downstream applications.

November 2024

1 Commits • 1 Features

Nov 1, 2024

Month: 2024-11 — Highlights for IBM/watsonx-ai-samples: Delivered documentation updates for ONNX model conversion (TensorFlow/Keras) to reflect changes, with improved download and conversion steps and added Keras support. Commit ac40cbebf572e551bc66c322ebf5534dc8f26a4f documents alignment with notebook changes and ensures consistency across developer guides.

Activity

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Quality Metrics

Correctness92.8%
Maintainability89.2%
Architecture89.2%
Performance89.2%
AI Usage45.4%

Skills & Technologies

Programming Languages

BashHTMLJavaScriptMarkdownPythonYAML

Technical Skills

AI DevelopmentAPI IntegrationCI/CDData AnalysisData ScienceDevOpsDocumentation DeploymentFastAPIGitHub ActionsIBM WatsonInteractive ProgrammingJavaScript developmentJupyterKerasMachine Learning

Repositories Contributed To

2 repos

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

deepsense-ai/ragbits

Feb 2026 Mar 2026
2 Months active

Languages Used

PythonBashJavaScriptMarkdownYAML

Technical Skills

FastAPIbackend developmentdependency managementCI/CDDevOpsDocumentation Deployment

IBM/watsonx-ai-samples

Nov 2024 Feb 2025
3 Months active

Languages Used

HTMLPython

Technical Skills

KerasONNXPythonTensorFlowdata sciencemachine learning