About Me

Hello! I'm Peter Miľovčík, a senior key expert from Slovakia passionate about continuous learning and improvement, interested in testing, architecture, personal knowledge management, teaching, .NET, generative AI, and more, actively promoting a less stressful development. I currently work for Siemens Healthineers.

Projects

Generative AI - Requirements Generation

This project is designed to generate requirement text based on the provided input context. It strictly adheres to the IEEE 29148 Quality Criteria, ensuring the production of high-quality, clear, and concise requirements.

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Generative AI - Requirements to Test Cases

This project leverages generative AI to transform software requirements into test cases, streamlining the testing process and ensuring comprehensive coverage. It uses natural language processing to understand the requirements and generate relevant test scenarios. This tool aims to reduce manual effort and improve the efficiency of the software testing process.

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Generative AI - Test Case Reviewer

This project utilizes Generative AI to review and evaluate manual test cases, steps, and quality. By leveraging advanced machine learning techniques, it can identify potential gaps, redundancies, and inefficiencies in the test cases. This not only ensures a high standard of quality but also significantly reduces the time and effort required for manual review.

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Generative AI - Requirements Risk Management

This project employs Generative AI for conducting risk analysis, evaluation, and mitigation based on provided requirements. The AI system is capable of identifying potential risks, assessing their impact, and suggesting appropriate mitigation strategies.

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Generative AI - Requirements to Gherkin Language

This project utilizes Generative AI to transform requirement text into Gherkin language scenarios. By leveraging advanced natural language processing techniques, it can interpret the requirements and generate corresponding Gherkin scenarios. This not only streamlines the process of writing acceptance tests in Behavior-Driven Development (BDD), but also ensures that the tests accurately reflect the intended functionality of the software.

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Accessible Web Navigator

This project, developed during the CodeCon 2024 conference in Žilina, is a simple console application that integrates OpenAI, Playwright, and NAudio in .NET to create a tool for improving web accessibility for visually impaired users. It allows users to ask AI to summarize or ask questions about websites, with text-to-speech or speech-to-text capabilities, including basic interactions like clicking on pages and writing text.

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My Blogs

Dev.to

Posts dedicated to software development mainly in .NET. I share my insights, experiences, and tips on various topics such as C# and more. Whether you're a beginner or an experienced developer, you'll find valuable content to enhance your skills and stay up-to-date with the latest trends in the .NET ecosystem.

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Medium.com

Posts mainly about Obsidian note taking tool and personal knowledge management. I share my experiences, tips, and best practices for using Obsidian effectively to organize and manage personal knowledge. From creating a knowledge base to implementing effective note-taking strategies, my posts cover a wide range of topics to help you optimize your knowledge management workflow. Whether you're new to Obsidian or an experienced user, you'll find valuable insights and practical advice to enhance your note-taking and knowledge organization skills.

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My Obsidian Public Vault

Explore my knowledge hub in Obsidian, where I collect information about different concepts from the areas of software development, software testing, software architecture, and much more.

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Contact

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