risingwavelabs/awesome-stream-processing
Jun 2025 – Oct 2025
3 Months active
Languages Used
HTMLJavaScriptPythonSQLShellCSS
Technical Skills
Data VisualizationDatabase ManagementJavaScriptKafkaLSTMPython
kiki-doyouloveme
PROFILE
Kiki-doyouloveme
Over a three-month period, this developer delivered three end-to-end real-time analytics features for the risingwavelabs/awesome-stream-processing repository. They built a real-time traffic prediction system, a customer segmentation demo, and a Solana transaction analysis dashboard, each integrating data ingestion, processing, and visualization. Their approach combined Kafka for streaming data, RisingWave for SQL-based processing, and React for interactive dashboards, with Python and JavaScript used for data generation and frontend logic. The work demonstrated depth across data engineering and visualization, enabling actionable insights for business users and establishing reusable patterns for future streaming analytics solutions without reported critical bugs during development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
10,287
Activity Months3
Your Network
10 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered the Solana Transaction Analysis Demo – Real-time transaction visualization for risingwavelabs/awesome-stream-processing. Implemented a client-side React dashboard to visualize live SOL and SPL token transfers with statistics such as transaction counts, total amounts, and recent block overviews. The backend is wired to RisingWave to fetch and process data from Kafka, enabling end-to-end streaming analytics from source to presentation. This demo provides a tangible, business-facing showcase of real-time analytics capabilities and establishes a foundation for additional streaming dashboards across assets.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered the Solana Transaction Analysis Demo – Real-time transaction visualization for risingwavelabs/awesome-stream-processing. Implemented a client-side React dashboard to visualize live SOL and SPL token transfers with statistics such as transaction counts, total amounts, and recent block overviews. The backend is wired to RisingWave to fetch and process data from Kafka, enabling end-to-end streaming analytics from source to presentation. This demo provides a tangible, business-facing showcase of real-time analytics capabilities and establishes a foundation for additional streaming dashboards across assets.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025This month delivered an end-to-end Real-time Customer Segmentation Demo on the risingwavelabs/awesome-stream-processing repo, enabling real-time audience insights for personalized campaigns and analytics. The work covered from data ingestion to visualization, with a reusable pattern for streaming analytics across domains.
September 2025
1 Commits • 1 Features
Sep 1, 2025This month delivered an end-to-end Real-time Customer Segmentation Demo on the risingwavelabs/awesome-stream-processing repo, enabling real-time audience insights for personalized campaigns and analytics. The work covered from data ingestion to visualization, with a reusable pattern for streaming analytics across domains.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: End-to-end Real-time Traffic Prediction System delivered for risingwavelabs/awesome-stream-processing. Implemented Kafka topics for sensor and camera data, RisingWave SQL processing, Python scripts for data generation, model execution, and visualization. System visualizes current and predicted traffic flow with historical data available when selecting road segments. Focused on feature delivery and pipeline enablement; no critical bugs reported this month.
1 Commits • 1 Features
Jun 1, 2025June 2025: End-to-end Real-time Traffic Prediction System delivered for risingwavelabs/awesome-stream-processing. Implemented Kafka topics for sensor and camera data, RisingWave SQL processing, Python scripts for data generation, model execution, and visualization. System visualizes current and predicted traffic flow with historical data available when selecting road segments. Focused on feature delivery and pipeline enablement; no critical bugs reported this month.
June 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPythonSQLShell
Technical Skills
Customer SegmentationData EngineeringData VisualizationDatabase ManagementDockerExpress.jsFastAPIFrontend DevelopmentJavaScriptKafkaLSTMNode.jsPostgreSQLPythonRFM Model
Repositories Contributed To
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