bramstroker/homeassistant-powercalc
Jan 2026 – Jan 2026
1 Month active
Languages Used
JSON
Technical Skills
IoT developmentconfiguration managementdata modelingsmart home integration
Victor Burlacu-Zane
PROFILE
Victor Burlacu-zane
During January 2026, the developer contributed to the bramstroker/homeassistant-powercalc repository by implementing detailed power consumption profiling for the Shelly 1L Gen3 smart switch. They introduced mode-based metrics to enhance the accuracy of energy usage estimates, leveraging skills in IoT development, data modeling, and configuration management. Their work included refining the JSON configuration schema by removing unnecessary sub_profile_select elements, which resolved validation errors and improved maintainability. This approach resulted in more reliable power estimates and a cleaner foundation for future enhancements. The developer demonstrated a thoughtful balance between feature delivery and codebase stability, focusing on long-term reliability and clarity.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
57
Activity Months1
Your Network
68 peopleWork History
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for bramstroker/homeassistant-powercalc: Delivered key features and fixed critical validation issues with measurable business value. Implemented Shelly 1L Gen3 power consumption profiling with detailed mode-based metrics to improve energy usage accuracy. Resolved model.json validation errors by removing unnecessary sub_profile_select, simplifying configuration validation. Overall impact: enhanced accuracy of power estimates, improved reliability, and a cleaner foundation for future enhancements. Technologies/skills demonstrated: power modeling, per-mode profiling, JSON schema validation, and maintainability improvements.
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for bramstroker/homeassistant-powercalc: Delivered key features and fixed critical validation issues with measurable business value. Implemented Shelly 1L Gen3 power consumption profiling with detailed mode-based metrics to improve energy usage accuracy. Resolved model.json validation errors by removing unnecessary sub_profile_select, simplifying configuration validation. Overall impact: enhanced accuracy of power estimates, improved reliability, and a cleaner foundation for future enhancements. Technologies/skills demonstrated: power modeling, per-mode profiling, JSON schema validation, and maintainability improvements.
January 2026
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSON
Technical Skills
IoT developmentconfiguration managementdata modelingsmart home integration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline