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
During the month, contributed to the bettersg/SchemesSG_v3 repository by implementing an Azure OpenAI embeddings-based search pipeline. This work involved migrating the system from local transformer-generated embeddings to Azure-hosted embeddings, updating the initialization process to utilize AzureOpenAIEmbeddings, and ensuring compatibility with the FAISS index by validating embedding dimensions. The new pipeline generates embeddings through Azure, enhancing both the relevance and scalability of search results. Robust handling for empty outputs from the embeddings pipeline was also introduced. The project leveraged Python for backend development and integrated cloud services, focusing on API integration and data engineering within a machine learning context.
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
Repositories Contributed To
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