bettersg/SchemesSG_v3
Sep 2025 – Sep 2025
1 Month active
Languages Used
Python
Technical Skills
API IntegrationBackend DevelopmentCloud ServicesData EngineeringMachine Learning
Celest Lee
PROFILE
Celest Lee
Celest Lee developed an Azure OpenAI embeddings-based search feature for the bettersg/SchemesSG_v3 repository, migrating the system from local transformer embeddings to a cloud-based approach. Using Python and leveraging skills in API integration and cloud services, Celest updated the initialization process to utilize AzureOpenAIEmbeddings and ensured compatibility with the FAISS index by validating embedding dimensions. The new search pipeline generates embeddings through Azure, improving both scalability and relevance. Robust handling for empty outputs was implemented to enhance reliability. This work demonstrates depth in backend development and data engineering, addressing both infrastructure migration and the technical nuances of embedding-based search workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
208
Activity Months1
Your Network
13 peopleShared Repositories
13
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025Month 2025-09 Summary for bettersg/SchemesSG_v3: Implemented Azure OpenAI Embeddings-based Search, migrating from local transformer embeddings to Azure-based embeddings, updating initialization to use AzureOpenAIEmbeddings, and validating embedding dimensions for FAISS index compatibility. The search pipeline now generates embeddings via Azure, improving relevance and scalability.
2 Commits • 1 Features
Sep 1, 2025Month 2025-09 Summary for bettersg/SchemesSG_v3: Implemented Azure OpenAI Embeddings-based Search, migrating from local transformer embeddings to Azure-based embeddings, updating initialization to use AzureOpenAIEmbeddings, and validating embedding dimensions for FAISS index compatibility. The search pipeline now generates embeddings via Azure, improving relevance and scalability.
September 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationBackend DevelopmentCloud ServicesData EngineeringMachine Learning
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