assume-framework/assume
Oct 2025 – Oct 2025
1 Month active
Languages Used
PythonShellYAML
Technical Skills
Backend DevelopmentCode RefactoringConfiguration ManagementData AnalysisData EngineeringData Validation
Jannik
PROFILE
Jannik
During October 2025, Raskob enhanced the assume-framework/assume repository by delivering nine new features focused on reliability and scalability in backend systems. He implemented default database provisioning for new data sources, streamlining initial setup and configuration management. Using Python, Pandas, and YAML, Raskob expanded unit and world testing coverage, introduced robust parameter validation for demand and storage units, and standardized forecasting time indices with FastIndex. His work included refactoring ramp logic for storage and developing a strategy compatibility framework to ensure consistent bidding behavior. These contributions deepened the codebase’s correctness, maintainability, and extensibility, reflecting strong backend engineering and data validation skills.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
9
Lines of code
1,647
Activity Months1
Your Network
15 peopleSame Organization
@fh-aachen.de1
Work History
October 2025
12 Commits • 9 Features
Oct 1, 2025October 2025 performance summary for assume-framework/assume: Focused on reliability, correctness, and scalable model improvements across provisioning, testing, and forecasting. Delivered default database provisioning for new data sources (datasource.yml) to ensure consistent initial provisioning and updated Docker CLI usage guidance to align with newer Docker workflows, reducing setup friction for new sources. Expanded testing coverage for World interactions, unit calculations, and storage/power validation, including the ability to add existing units to the world, which increases confidence in model behavior and regression safety. Strengthened physical modeling and configuration correctness with mandated negative min/max power for demand units and robust unit parameter validations to prevent invalid configurations. Improved data modeling and forecasting workflows with None-based ramp handling for storage (unlimited ramps) and standardization of forecasting time index using FastIndex, enabling safer extensions and clearer performance analytics. Also introduced a strategy compatibility framework (MinMaxStrategy and MinMaxChargeStrategy) to ensure consistent bidding behavior during unit initialization and operation.
12 Commits • 9 Features
Oct 1, 2025October 2025 performance summary for assume-framework/assume: Focused on reliability, correctness, and scalable model improvements across provisioning, testing, and forecasting. Delivered default database provisioning for new data sources (datasource.yml) to ensure consistent initial provisioning and updated Docker CLI usage guidance to align with newer Docker workflows, reducing setup friction for new sources. Expanded testing coverage for World interactions, unit calculations, and storage/power validation, including the ability to add existing units to the world, which increases confidence in model behavior and regression safety. Strengthened physical modeling and configuration correctness with mandated negative min/max power for demand units and robust unit parameter validations to prevent invalid configurations. Improved data modeling and forecasting workflows with None-based ramp handling for storage (unlimited ramps) and standardization of forecasting time index using FastIndex, enabling safer extensions and clearer performance analytics. Also introduced a strategy compatibility framework (MinMaxStrategy and MinMaxChargeStrategy) to ensure consistent bidding behavior during unit initialization and operation.
October 2025
Activity
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Quality Metrics
Correctness92.6%
Maintainability87.4%
Architecture85.8%
Performance77.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShellYAML
Technical Skills
Backend DevelopmentCode RefactoringConfiguration ManagementData AnalysisData EngineeringData ValidationObject-Oriented ProgrammingPandasPythonSoftware DesignSoftware EngineeringSoftware ValidationTestingTime Series AnalysisType Hinting
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