google/digitalbuildings
May 2026 – May 2026
1 Month active
Languages Used
YAML
Technical Skills
Data modelingHVAC systemsYAML configurationconfiguration managementdata modeling
Shamber Goldstein
PROFILE
Shamber Goldstein
Worked on the google/digitalbuildings repository to deliver three new features focused on enhancing HVAC platform flexibility and data reliability. Developed non-canonical virtual device support to enable more adaptable configuration of multi-zone air handling units and air source heat pumps. Improved telemetry by refining damper control data, adding outside air damper percentage fields, and correcting unit ranges to ensure accurate system feedback. Extended variable air volume (VAV) configurations with integrated CO2 and temperature management, supporting more granular environmental control. Leveraged skills in data modeling, YAML configuration, and HVAC systems to lay a foundation for scalable, energy-efficient, and data-driven HVAC deployments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
139
Activity Months1
Your Network
5021 peopleSame Organization
@google.com5001
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Work History
May 2026
4 Commits • 3 Features
May 1, 2026May 2026 monthly summary for google/digitalbuildings: Delivered key HVAC platform enhancements to enable flexible, data-driven multi-zone control and improved telemetry reliability. Implemented non-canonical virtual device support for multi-zone AHUs/ASHPs, tightened telemetry accuracy for damper control, and extended VAV configurations with CO2 and temperature management. These changes lay the groundwork for more scalable deployments, better energy efficiency, and higher confidence in automated HVAC decisions.
4 Commits • 3 Features
May 1, 2026May 2026 monthly summary for google/digitalbuildings: Delivered key HVAC platform enhancements to enable flexible, data-driven multi-zone control and improved telemetry reliability. Implemented non-canonical virtual device support for multi-zone AHUs/ASHPs, tightened telemetry accuracy for damper control, and extended VAV configurations with CO2 and temperature management. These changes lay the groundwork for more scalable deployments, better energy efficiency, and higher confidence in automated HVAC decisions.
May 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
Data modelingHVAC systemsYAML configurationconfiguration managementdata modeling
Repositories Contributed To
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