dungkhmt/openerp-micro-service
Nov 2024 – Dec 2024
2 Months active
Languages Used
Java
Technical Skills
API DevelopmentBackend DevelopmentSpring BootAnalyticsDatabase ManagementJava
DI-huyentm
PROFILE
Di-huyentm
Huyen developed analytics-focused backend features for dungkhmt/openerp-micro-service, building a User Submissions API and a Contest Submission Analytics pipeline over two months. She designed and implemented endpoints in Java and Spring Boot to retrieve and aggregate per-user programming contest submissions, structuring responses for downstream analytics and dashboards. Her work included logic to categorize submissions by status, update user metrics, and ensure data reliability for contest organizers and participants. By focusing on API consistency, extensibility, and database management, Huyen enabled accurate, scalable reporting and user-centric analytics. The features were delivered with clear git traceability and without major bugs, reflecting careful engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
129
Activity Months2
Your Network
12 people
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024Month 2024-12: Delivered Contest Submission Analytics: User Submission Counts feature for dungkhmt/openerp-micro-service. Implemented end-to-end pipeline to track and store per-user submission counts, process new submissions, categorize by status (accepted vs compile error), and update metrics with total, accepted, and failed counts for analytics and dashboards. No major bugs fixed documented; focus on feature delivery and data reliability. Impact: Enables accurate, per-user contest analytics and informed decision-making for organizers and participants; improves dashboard readiness and data quality. Technologies/skills demonstrated: backend microservice development, Python data processing, per-user aggregation, status-based analytics, and git-based traceability (commit 38999b4f48c6581569a60a5cedf4f95ab2b19414).
1 Commits • 1 Features
Dec 1, 2024Month 2024-12: Delivered Contest Submission Analytics: User Submission Counts feature for dungkhmt/openerp-micro-service. Implemented end-to-end pipeline to track and store per-user submission counts, process new submissions, categorize by status (accepted vs compile error), and update metrics with total, accepted, and failed counts for analytics and dashboards. No major bugs fixed documented; focus on feature delivery and data reliability. Impact: Enables accurate, per-user contest analytics and informed decision-making for organizers and participants; improves dashboard readiness and data quality. Technologies/skills demonstrated: backend microservice development, Python data processing, per-user aggregation, status-based analytics, and git-based traceability (commit 38999b4f48c6581569a60a5cedf4f95ab2b19414).
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024In 2024-11, delivered a new User Submissions API for programming contests in dungkhmt/openerp-micro-service. The API provides endpoints to retrieve per-user submissions with aggregates (total, accepted, compile errors) and uses a structured response model to simplify downstream analytics. No major bugs were reported this month; focus was on feature delivery and API design to enable contest analytics, dashboards, and potential leaderboards. This work strengthens the platform's ability to support user-centric analytics and scalable reporting across contests.
November 2024
1 Commits • 1 Features
Nov 1, 2024In 2024-11, delivered a new User Submissions API for programming contests in dungkhmt/openerp-micro-service. The API provides endpoints to retrieve per-user submissions with aggregates (total, accepted, compile errors) and uses a structured response model to simplify downstream analytics. No major bugs were reported this month; focus was on feature delivery and API design to enable contest analytics, dashboards, and potential leaderboards. This work strengthens the platform's ability to support user-centric analytics and scalable reporting across contests.
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
API DevelopmentAnalyticsBackend DevelopmentDatabase ManagementJavaSpring Boot
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