timeplus-io/proton
Nov 2024 – Mar 2025
4 Months active
Languages Used
C++PythonSQL
Technical Skills
Aggregate FunctionsC++ DevelopmentData StructuresHash TablesStreaming Data ProcessingBackend Development
Jasmine-ge
PROFILE
Jasmine-ge
Jasmine Ge developed advanced streaming analytics features for the timeplus-io/proton repository, focusing on aggregate functions and time series data processing. She implemented distinct counting aggregates, time-weighted analytics, and enhanced data replay with Kafka integration, using C++, SQL, and Python. Her work included robust binary serialization for decimals, tuple-aware array mapping, and new aggregation functions like group_concat and group_array_last, all backed by comprehensive tests and targeted refactoring. Jasmine’s technical approach emphasized maintainability and extensibility, addressing complex data types and streaming scenarios. The depth of her contributions improved real-time analytics accuracy, replay flexibility, and the overall reliability of the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
7
Lines of code
3,908
Activity Months4
Your Network
18 peopleSame Organization
@timeplus.io7
Shared Repositories
11
Alan YuMember
S Bala VigneshMember
Gimi LiangMember
yunMember
Jove ZhongMember
proton-robotMember
Qijun NiuMember
Sarwar BhuiyanMember
SBALAVIGNESH123Member
Work History
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for timeplus-io/proton: Delivered two major features—tuple-aware arrayMap support and a new GroupArrayLast aggregate function—backed by tests, refactors, and targeted bug fixes. This work expands data processing capabilities, improves correctness, and strengthens test coverage, delivering tangible business value for tuple-structured analytics and last-N aggregation.
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for timeplus-io/proton: Delivered two major features—tuple-aware arrayMap support and a new GroupArrayLast aggregate function—backed by tests, refactors, and targeted bug fixes. This work expands data processing capabilities, improves correctness, and strengthens test coverage, delivering tangible business value for tuple-structured analytics and last-N aggregation.
March 2025
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 — Proton: Delivered pivotal features to enhance data replay capabilities and analytics, while validating changes with tests. Focused on extending replay flexibility, and expanding aggregation capabilities to support more expressive queries. No critical bugs reported this month; the work prioritized feature delivery and quality assurance to enable stronger operational insights and data processing.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 — Proton: Delivered pivotal features to enhance data replay capabilities and analytics, while validating changes with tests. Focused on extending replay flexibility, and expanding aggregation capabilities to support more expressive queries. No critical bugs reported this month; the work prioritized feature delivery and quality assurance to enable stronger operational insights and data processing.
December 2024
2 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for timeplus-io/proton: Delivered two major features enhancing data serialization and time-based analytics, with refactors for robustness and new tests; no major bugs fixed. Impact: improved data accuracy for decimal fields, faster, more maintainable serialization paths, enabling accurate time-weighted analytics. Technologies/skills demonstrated: binary serialization/deserialization, decimal handling, time-weighted analytics, testing, and code refactors.
2 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for timeplus-io/proton: Delivered two major features enhancing data serialization and time-based analytics, with refactors for robustness and new tests; no major bugs fixed. Impact: improved data accuracy for decimal fields, faster, more maintainable serialization paths, enabling accurate time-weighted analytics. Technologies/skills demonstrated: binary serialization/deserialization, decimal handling, time-weighted analytics, testing, and code refactors.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on key accomplishments, with a highlight of features delivered, major fixes, impact, and skill demonstration.
November 2024
1 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on key accomplishments, with a highlight of features delivered, major fixes, impact, and skill demonstration.
Activity
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Quality Metrics
Correctness91.4%
Maintainability82.8%
Architecture87.2%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonSQL
Technical Skills
Aggregate FunctionsBackend DevelopmentC++ DevelopmentData EngineeringData ReplayData SerializationData StructuresData TypesDatabase DevelopmentDatabase InternalsHash TablesKafka IntegrationRefactoringSQL DevelopmentSQL Functions
Repositories Contributed To
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