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Michał Koruszowic

PROFILE

Michał Koruszowic

Michał Koruszowic developed and enhanced AI and data science workflows across IBM/watsonx-ai-samples and deepsense-ai/ragbits, focusing on model deployment, real-time streaming, and secure, maintainable infrastructure. He delivered ONNX model conversion notebooks and documentation, enabling seamless export from frameworks like scikit-learn and LightGBM, and improved deployment guidance using Python and Jupyter. In the langgraph-react-agent template, he implemented real-time streaming for dynamic AI responses. For deepsense-ai/ragbits, Michał strengthened FastAPI dependency management, refactored chat UI components with React and JavaScript, and improved CI/CD pipelines, addressing security vulnerabilities and streamlining release processes for more robust, production-ready deployments.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

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

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