soomrack/MR2024
Nov 2024 – Jan 2026
4 Months active
Languages Used
CC++KUKA Robot Language
Technical Skills
Algorithm ImplementationAlgorithm OptimizationC ProgrammingC programmingEmbedded SystemsMatrix Operations
ArtemyBaz
PROFILE
Artemybaz
Artemy Bazeltsev developed core robotics and automation features for the soomrack/MR2024 repository, focusing on robust matrix computation, greenhouse automation, and real-time robot video streaming. He engineered a comprehensive matrix library in C/C++ with safe memory management and exception handling, supporting advanced operations for analytics and control. Artemy also built sensor-driven greenhouse automation using Arduino, integrating climate and irrigation logic for reliable operation. For robotics, he implemented UDP-based video streaming and a Qt GUI for live monitoring and control. His work demonstrated depth in algorithm implementation, modular architecture, and data processing, resulting in maintainable, scalable solutions for embedded systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
30Total
Bugs
0
Commits
30
Features
8
Lines of code
10,327
Activity Months4
Your Network
37 peopleShared Repositories
37
Work History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 — Soomrack MR2024: Delivered core real-time robot video streaming and control capabilities. Implemented UDP/socket streaming, a GUI for live video viewing, and a dedicated module for control interactions including resolution adjustments. This foundation enables remote monitoring and operation with improved operator visibility and responsiveness. No explicit bug-fix work documented for this period; the focus was feature delivery and stabilizing the streaming pipeline. Technologies demonstrated include UDP/socket networking, real-time video streaming, GUI development, and modular architecture for streaming and control separation.
2 Commits • 1 Features
Jan 1, 2026January 2026 — Soomrack MR2024: Delivered core real-time robot video streaming and control capabilities. Implemented UDP/socket streaming, a GUI for live video viewing, and a dedicated module for control interactions including resolution adjustments. This foundation enables remote monitoring and operation with improved operator visibility and responsiveness. No explicit bug-fix work documented for this period; the focus was feature delivery and stabilizing the streaming pipeline. Technologies demonstrated include UDP/socket networking, real-time video streaming, GUI development, and modular architecture for streaming and control separation.
January 2026
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly work summary for soomrack/MR2024. Key deliverables focused on data processing and routing capabilities, delivering tangible business value through reliable CSV outputs and an algorithmic routing feature. No major bugs reported in this period; work emphasized feature delivery, code quality, and maintainability.
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 monthly work summary for soomrack/MR2024. Key deliverables focused on data processing and routing capabilities, delivering tangible business value through reliable CSV outputs and an algorithmic routing feature. No major bugs reported in this period; work emphasized feature delivery, code quality, and maintainability.
March 2025
13 Commits • 3 Features
Mar 1, 2025March 2025 – soomrack/MR2024: Delivered three primary features with direct business value and prepared for future scaling. Greenhouse automation system implemented with sensor-based climate control and irrigation; extended support for multiple soil moisture sensors and refined watering logic. Matrix computation library enhanced with a robust exception-driven API, improved exponentiation and determinant handling, and comprehensive cleanup/refactor. KUKA course project resources and robot program updated with new assets and cleanup of superseded files. Impact includes reduced manual monitoring, improved reliability for numeric workloads, and streamlined educational resources. Technologies: embedded C/C++, Arduino, sensor integration, exception handling, matrix algebra, refactoring, repository/resource management.
13 Commits • 3 Features
Mar 1, 2025March 2025 – soomrack/MR2024: Delivered three primary features with direct business value and prepared for future scaling. Greenhouse automation system implemented with sensor-based climate control and irrigation; extended support for multiple soil moisture sensors and refined watering logic. Matrix computation library enhanced with a robust exception-driven API, improved exponentiation and determinant handling, and comprehensive cleanup/refactor. KUKA course project resources and robot program updated with new assets and cleanup of superseded files. Impact includes reduced manual monitoring, improved reliability for numeric workloads, and streamlined educational resources. Technologies: embedded C/C++, Arduino, sensor integration, exception handling, matrix algebra, refactoring, repository/resource management.
March 2025
November 2024
11 Commits • 2 Features
Nov 1, 2024November 2024 focused on delivering a robust core for numeric computations and refining autonomous control logic, enabling safer, scalable features in MR2024. Key work included a feature-rich matrix library (task2.c) with comprehensive operations and memory-safety improvements, and a refactor of the line-following bot to improve deviation detection and handling of departures. All work is tracked in MR2024 with a clear commit history, reinforcing code quality, reliability, and maintainability. The changes reduce risk, improve performance consistency, and lay the groundwork for future analytics and autonomous capabilities.
November 2024
11 Commits • 2 Features
Nov 1, 2024November 2024 focused on delivering a robust core for numeric computations and refining autonomous control logic, enabling safer, scalable features in MR2024. Key work included a feature-rich matrix library (task2.c) with comprehensive operations and memory-safety improvements, and a refactor of the line-following bot to improve deviation detection and handling of departures. All work is tracked in MR2024 with a clear commit history, reinforcing code quality, reliability, and maintainability. The changes reduce risk, improve performance consistency, and lay the groundwork for future analytics and autonomous capabilities.
Activity
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Quality Metrics
Correctness83.6%
Maintainability84.0%
Architecture78.0%
Performance80.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++KUKA Robot Language
Technical Skills
Algorithm ImplementationAlgorithm OptimizationArduinoAutomationC ProgrammingC programmingC++C++ DevelopmentCSV ParsingConstants DefinitionData ProcessingData StructuresEmbedded SystemsException HandlingFile I/O
Repositories Contributed To
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