EXCEEDS logo
Exceeds
Amid Gol

PROFILE

Amid Gol

Worked on the WebFuzzing/EvoMaster repository, delivering eight features and addressing core reliability in genetic algorithm testing and AI-driven input modeling over four months. Enhanced genetic algorithm modules by refining evaluation logic, introducing monotonic replacement, and expanding configuration options, all documented for maintainability and reproducibility. Developed an adaptive Naive Gaussian model for input learning and implemented real-time data visualization using Python and Kotlin, enabling live monitoring of test outcomes. Improved input validation and modularized encoding utilities to reduce runtime errors and streamline future extensions. Focused on code readability, robust documentation, and integration testing to support efficient experimentation and onboarding.

Overall Statistics

Feature vs Bugs

89%Features

Repository Contributions

16Total
Bugs
1
Commits
16
Features
8
Lines of code
2,924
Activity Months4

Your Network

19 people

Work History

June 2025

5 Commits • 2 Features

Jun 1, 2025

June 2025: Enhanced WebFuzzing/EvoMaster with clearer GA documentation, robust input validation and error messaging, and a refactored encoding module. Documentation and status updates improve experiment reproducibility and onboarding; input validation reduces runtime errors; modular encoding improves maintainability and future extensions. Commits across GA docs, classifier validation, and encoding module are traceable to PRs.

May 2025

6 Commits • 3 Features

May 1, 2025

May 2025 — WebFuzzing/EvoMaster: Key features delivered include adaptive input learning with Naive Gaussian 1D model; genetic algorithms enhancements and documentation; and real-time KDE/result visualization. No major bugs fixed in this period. Overall impact: improved input space exploration, configurable GA options, and real-time observability, enabling faster iteration and data-driven decision making. Technologies demonstrated include Gaussian modeling, evolutionary algorithms, real-time plotting, and documentation improvements.

April 2025

4 Commits • 2 Features

Apr 1, 2025

April 2025 monthly summary for WebFuzzing/EvoMaster. Focused on improving genetic algorithm readability, maintainability, and core efficiency. Delivered documentation enhancements and core GA improvements that enable faster experimentation and more reliable evolutionary search.

December 2024

1 Commits • 1 Features

Dec 1, 2024

Month: 2024-12 — WebFuzzing/EvoMaster: Key feature delivery and reliability improvements in GA tests. Achievements include enhancing StandardGeneticAlgorithm Test Validation with updated evaluation configuration, stopping criteria, and new assertions for solution size and fitness, leading to improved accuracy and reduced flaky behavior. No major bugs fixed this month; primary focus was test quality and code robustness. Overall impact includes stronger confidence in GA optimization outcomes, contributing to more reliable fuzzing coverage and product quality. Technologies/skills demonstrated include Java/Kotlin testing, JUnit-like assertions, test configuration tuning, code review, and CI readiness.

Activity

Loading activity data...

Quality Metrics

Correctness85.6%
Maintainability87.0%
Architecture77.6%
Performance76.2%
AI Usage25.0%

Skills & Technologies

Programming Languages

JavaKotlinMarkdownPython

Technical Skills

AI/ML IntegrationAI/ML Model DevelopmentAI/ML Model ImplementationAlgorithm DesignAlgorithm ImplementationAlgorithm TestingCSV HandlingCode CleanupCode DocumentationCode OrganizationCode ReadabilityCode RefactoringConfiguration ManagementData ScienceData Visualization

Repositories Contributed To

1 repo

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

WebFuzzing/EvoMaster

Dec 2024 Jun 2025
4 Months active

Languages Used

KotlinJavaMarkdownPython

Technical Skills

Algorithm TestingJavaUnit TestingAlgorithm DesignAlgorithm ImplementationCode Readability