monk-coder/S619-10IT-2025
Sep 2025 – Jan 2026
5 Months active
Languages Used
C++PythonXMLCSSHTMLNone
Technical Skills
Build ConfigurationC++ DevelopmentFinancial ModelingObject-Oriented ProgrammingPersonal Finance SimulationSimulation
Yarikcat2
PROFILE
Yarikcat2
Over five months, contributed to monk-coder/S619-10IT-2025 by delivering seven features spanning backend, frontend, and automation. Developed a C++ Visual Studio project setup and a Python-based personal finance simulator to support cross-platform builds and data-driven budgeting. Built a Flask-powered contact management system with user authentication and improved API security, and implemented a Telegram Secret Santa bot using Python and SQLite for interactive group gifting. Authored instructional documentation to streamline onboarding and assessment. Most recently, created a NumPy-based perceptron binary classifier, emphasizing code clarity and reproducibility. Demonstrated skills in Python, C++, SQLAlchemy, and machine learning, with strong version control discipline.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
7
Lines of code
972
Activity Months5
Your Network
27 peopleWork History
January 2026
2 Commits • 1 Features
Jan 1, 2026Month: 2026-01 - Performance Review Summary Focus: monk-coder/S619-10IT-2025 Key achievements and features delivered: - Perceptron Binary Classifier (NumPy implementation): Implemented a NumPy-based perceptron model for binary classification that trains on a simple dataset and outputs learned weights and predictions. A dedicated script provides end-to-end training and results for quick experimentation. - Code clarity and maintainability improvements: Renamed the main entry script from main.py to perceptron.py and updated references to reflect the clearer naming, reducing onboarding time for new contributors. - End-to-end usage demonstration: Added a straightforward workflow to train and evaluate the model, enabling rapid validation of ideas and reproducibility. Major bugs fixed: - No major bugs reported this month; minor refactors and documentation updates were performed to support the new feature and naming clarity. Overall impact and accomplishments: - Business value: Accelerated prototyping for binary classification scenarios; improved maintainability and onboarding through clearer code structure and naming. - Technical impact: A reusable NumPy-based classifier with a clean entry point and traceable commits, enabling quick experimentation and future enhancements. Technologies/skills demonstrated: - Python, NumPy, end-to-end ML workflow, code refactoring, version control and commit hygiene, project tooling, and basic model evaluation. Commits for traceability: - 05229d307bb88d6f0bdd973b613172837200f155 (Задание 5. Перцептрон.) - c51291f93913d565073698a462d287dab38641f8 (Update and rename main.py to perceptron.py)
2 Commits • 1 Features
Jan 1, 2026Month: 2026-01 - Performance Review Summary Focus: monk-coder/S619-10IT-2025 Key achievements and features delivered: - Perceptron Binary Classifier (NumPy implementation): Implemented a NumPy-based perceptron model for binary classification that trains on a simple dataset and outputs learned weights and predictions. A dedicated script provides end-to-end training and results for quick experimentation. - Code clarity and maintainability improvements: Renamed the main entry script from main.py to perceptron.py and updated references to reflect the clearer naming, reducing onboarding time for new contributors. - End-to-end usage demonstration: Added a straightforward workflow to train and evaluate the model, enabling rapid validation of ideas and reproducibility. Major bugs fixed: - No major bugs reported this month; minor refactors and documentation updates were performed to support the new feature and naming clarity. Overall impact and accomplishments: - Business value: Accelerated prototyping for binary classification scenarios; improved maintainability and onboarding through clearer code structure and naming. - Technical impact: A reusable NumPy-based classifier with a clean entry point and traceable commits, enabling quick experimentation and future enhancements. Technologies/skills demonstrated: - Python, NumPy, end-to-end ML workflow, code refactoring, version control and commit hygiene, project tooling, and basic model evaluation. Commits for traceability: - 05229d307bb88d6f0bdd973b613172837200f155 (Задание 5. Перцептрон.) - c51291f93913d565073698a462d287dab38641f8 (Update and rename main.py to perceptron.py)
January 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly performance summary for monk-coder/S619-10IT-2025, focusing on delivered features, major fixes, business impact, and technical skills demonstrated. This period centered on producing instructional documentation for the Fourth Assignment, enhancing onboarding and assessment readiness. No major bugs were reported; ongoing emphasis on clear change tracking and documentation quality to enable faster onboarding and reduced support overhead.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly performance summary for monk-coder/S619-10IT-2025, focusing on delivered features, major fixes, business impact, and technical skills demonstrated. This period centered on producing instructional documentation for the Fourth Assignment, enhancing onboarding and assessment readiness. No major bugs were reported; ongoing emphasis on clear change tracking and documentation quality to enable faster onboarding and reduced support overhead.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025: Delivered a Telegram Secret Santa bot for monk-coder/S619-10IT-2025 with user registration, profiles, wishlists, and game participation, including anonymous questions and real-time game status checks. Implemented stability improvements to bot token handling and polling invocation, reducing downtime and manual administration. The work enhances user onboarding, engagement, and operational reliability, laying groundwork for scalable group gifting.
2 Commits • 1 Features
Nov 1, 2025November 2025: Delivered a Telegram Secret Santa bot for monk-coder/S619-10IT-2025 with user registration, profiles, wishlists, and game participation, including anonymous questions and real-time game status checks. Implemented stability improvements to bot token handling and polling invocation, reducing downtime and manual administration. The work enhances user onboarding, engagement, and operational reliability, laying groundwork for scalable group gifting.
November 2025
October 2025
6 Commits • 2 Features
Oct 1, 2025October 2025: Delivered foundational project scaffolding and a functional User Authentication & Contact Management system in monk-coder/S619-10IT-2025. The work establishes a scalable baseline for upcoming tasks, improves data security and usability, and delivers tangible business value through contact data management and export capabilities.
October 2025
6 Commits • 2 Features
Oct 1, 2025October 2025: Delivered foundational project scaffolding and a functional User Authentication & Contact Management system in monk-coder/S619-10IT-2025. The work establishes a scalable baseline for upcoming tasks, improves data security and usability, and delivers tangible business value through contact data management and export capabilities.
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 summary for monk-coder/S619-10IT-2025: Delivered two core features with clear business value and established a foundation for faster future work. Key features: (1) C++ Visual Studio project setup for Task1_10IT: added a new Visual Studio Solution with Debug/Release configurations for x64 and x86, ensuring the project is ready for development and cross-platform builds. (2) Personal finance simulator (Bob and Alice): Python scripts modeling monthly income, expenses, savings, and property investments over a year, including cat expenses, ownership costs, and mortgage considerations, with an annual summary to support budgeting decisions. Major bugs fixed: none documented this month. Overall impact: accelerates C++ task onboarding and enables data-driven budgeting/forecasting for planning decisions. Technologies/skills demonstrated: Visual Studio C++ project configuration and cross-platform build setup; Python scripting for financial modeling and scenario analysis; clear commit traceability across languages.
3 Commits • 2 Features
Sep 1, 2025September 2025 summary for monk-coder/S619-10IT-2025: Delivered two core features with clear business value and established a foundation for faster future work. Key features: (1) C++ Visual Studio project setup for Task1_10IT: added a new Visual Studio Solution with Debug/Release configurations for x64 and x86, ensuring the project is ready for development and cross-platform builds. (2) Personal finance simulator (Bob and Alice): Python scripts modeling monthly income, expenses, savings, and property investments over a year, including cat expenses, ownership costs, and mortgage considerations, with an annual summary to support budgeting decisions. Major bugs fixed: none documented this month. Overall impact: accelerates C++ task onboarding and enables data-driven budgeting/forecasting for planning decisions. Technologies/skills demonstrated: Visual Studio C++ project configuration and cross-platform build setup; Python scripting for financial modeling and scenario analysis; clear commit traceability across languages.
September 2025
Activity
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Quality Metrics
Correctness91.4%
Maintainability90.0%
Architecture87.2%
Performance87.2%
AI Usage25.8%
Skills & Technologies
Programming Languages
C++CSSHTMLNonePythonXML
Technical Skills
API IntegrationBackend DevelopmentBuild ConfigurationC++ DevelopmentCSS StylingDatabase ManagementFinancial ModelingFlaskFront End DevelopmentFull Stack DevelopmentGame Logic ImplementationObject-Oriented ProgrammingPersonal Finance SimulationPythonSQLAlchemy
Repositories Contributed To
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