vllm-project/semantic-router
Feb 2026 – Feb 2026
1 Month active
Languages Used
GoJavaScriptTypeScript
Technical Skills
DockerFastAPIKubernetesPythonReactfull stack development
Abdallah Samara
PROFILE
Abdallah Samara
Developed and delivered an end-to-end machine learning model selection workflow for the vllm-project/semantic-router repository, focusing on accelerating model-to-deployment cycles and improving reproducibility. Built a React-based three-step wizard in the dashboard UI, enabling users to benchmark models, train classifiers, and generate deployment configurations. Implemented a Go backend for orchestrating ML pipelines, providing real-time progress updates via SSE streaming and robust job monitoring. Automated the creation of deployment artifacts, including Docker Compose and Kubernetes YAMLs, ensuring compatibility with the semantic-router schema. Updated documentation and dashboards to enhance traceability, leveraging Docker, FastAPI, and full stack development skills throughout the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
5,212
Activity Months1
Your Network
86 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary focusing on the delivery of end-to-end ML model selection workflow in semantic-router, enabling users to benchmark, train, and generate deployment configurations, with backend/frontend orchestration, real-time progress, and deployment artifacts. Close alignment with business value by accelerating model-to-deployment cycles and improving reproducibility (issue #1312).
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary focusing on the delivery of end-to-end ML model selection workflow in semantic-router, enabling users to benchmark, train, and generate deployment configurations, with backend/frontend orchestration, real-time progress, and deployment artifacts. Close alignment with business value by accelerating model-to-deployment cycles and improving reproducibility (issue #1312).
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
GoJavaScriptTypeScript
Technical Skills
DockerFastAPIKubernetesPythonReactfull stack development
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