soomrack/MR2025
Jan 2026 – Jan 2026
1 Month active
Languages Used
C++
Technical Skills
Arduino programmingC++C++ developmentC++ programmingcontrol systemsembedded systems
smirnova-sr
PROFILE
Smirnova-sr
During January 2026, Smirnova developed three core features in the soomrack/MR2025 repository, focusing on simulation and automation using C++ and Arduino programming. She built a two-character financial simulation that models 20-year planning for Alice and Bob, incorporating income, expenses, mortgage, and investment logic. To improve maintainability, she refactored the codebase by consolidating separate classes into a unified Person structure, streamlining object-oriented design. Additionally, she engineered a greenhouse control system that automates climate and irrigation based on sensor data, applying embedded systems and control systems expertise. Her work demonstrated depth in simulation development and robust software design practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
1,743
Activity Months1
Your Network
50 peopleWork History
January 2026
5 Commits • 3 Features
Jan 1, 2026January 2026: Delivered end-to-end capabilities across personal finance simulation and greenhouse automation while improving code maintainability. The Two-character Financial Simulation enables 20-year planning for Alice and Bob; the Task1 module consolidation simplifies the codebase; the Greenhouse Control System automates climate and irrigation using sensor data. These efforts increase decision support speed, reduce maintenance risk, and lay groundwork for future features.
5 Commits • 3 Features
Jan 1, 2026January 2026: Delivered end-to-end capabilities across personal finance simulation and greenhouse automation while improving code maintainability. The Two-character Financial Simulation enables 20-year planning for Alice and Bob; the Task1 module consolidation simplifies the codebase; the Greenhouse Control System automates climate and irrigation using sensor data. These efforts increase decision support speed, reduce maintenance risk, and lay groundwork for future features.
January 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability76.0%
Architecture80.0%
Performance72.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Arduino programmingC++C++ developmentC++ programmingcontrol systemsembedded systemsfinancial modelingobject-oriented programmingsensor integrationsimulation developmentsoftware design
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