rosetta-models/common-domain-model
Nov 2024 – Nov 2024
1 Month active
Languages Used
Rosetta
Technical Skills
Code OrganizationData ModelingDomain ModelingDomain Specific LanguageDomain Specific Language (DSL)Financial Modeling
Lionel Smith-Gordon
PROFILE
Lionel Smith-gordon
Worked on the rosetta-models/common-domain-model repository to enhance commodity payout and underlier data models, focusing on expanding support for indices, baskets, and options while removing redundant metadata for streamlined asset definitions. Applied skills in data modeling, domain-specific language (DSL), and financial product definition to refine the commodity detection logic, introducing a SWITCH-based approach and BasketIsCommodity for improved accuracy and maintainability. Prioritized code organization and refactoring to reduce duplicate logic and clarify separation of concerns across commodity-related modules. These changes enabled more flexible asset modeling and safer product behavior, supporting robust financial modeling within the Rosetta language environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
104
Activity Months1
Your Network
40 peopleShared Repositories
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David Al-KananiMember
Work History
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for rosetta-models/common-domain-model: Delivered key enhancements to the commodity payout and underlier data model and streamlined commodity detection logic to improve accuracy and maintainability. The work delivered business value by expanding underlier support and reducing metadata noise, enabling more flexible asset definitions and safer product behavior across commodity-related modules.
6 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for rosetta-models/common-domain-model: Delivered key enhancements to the commodity payout and underlier data model and streamlined commodity detection logic to improve accuracy and maintainability. The work delivered business value by expanding underlier support and reducing metadata noise, enabling more flexible asset definitions and safer product behavior across commodity-related modules.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability93.4%
Architecture90.0%
Performance83.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Rosetta
Technical Skills
Code OrganizationData ModelingDomain ModelingDomain Specific LanguageDomain Specific Language (DSL)Financial ModelingFinancial Product DefinitionRefactoring
Repositories Contributed To
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