ExpediaGroup/feast
Jan 2025 – Jun 2025
6 Months active
Languages Used
PythonMakefileprotobufGoTypeScriptJSON
Technical Skills
Backend DevelopmentData EngineeringPythonSparkAPI DesignCI/CD
omiranda
PROFILE
Omiranda
Omar Miranda developed robust online feature retrieval and range query capabilities for the ExpediaGroup/feast repository, focusing on scalable backend systems and reliable data engineering. He implemented range-based APIs and enhanced the Go HTTP server to support complex queries, integrating Protocol Buffers and gRPC for efficient data serialization and communication. His work included optimizing memory management, refining error handling, and standardizing API responses to improve production resilience. By expanding test coverage and relaxing type validations, Omar addressed edge cases in data handling and ensured deterministic behavior. His contributions demonstrated depth in Go development, backend architecture, and the design of maintainable data pipelines.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
35Total
Bugs
1
Commits
35
Features
7
Lines of code
3,994
Activity Months6
Your Network
16 people
Work History
June 2025
7 Commits • 1 Features
Jun 1, 2025June 2025: Strengthened online feature serving reliability and data handling for Feast (ExpediaGroup/feast). Consolidated improvements to online feature retrieval and the HTTP server, with explicit NOT_FOUND/NULL_VALUE semantics, improved handling of missing values, and expanded test coverage. This work reduces ambiguity in data returned for missing features and improves production resilience of the online serving path.
7 Commits • 1 Features
Jun 1, 2025June 2025: Strengthened online feature serving reliability and data handling for Feast (ExpediaGroup/feast). Consolidated improvements to online feature retrieval and the HTTP server, with explicit NOT_FOUND/NULL_VALUE semantics, improved handling of missing values, and expanded test coverage. This work reduces ambiguity in data returned for missing features and improves production resilience of the online serving path.
June 2025
May 2025
13 Commits • 1 Features
May 1, 2025May 2025 performance summary focused on delivering scalable online feature retrieval capabilities and improving reliability for Feast (ExpediaGroup/feast). The primary feature delivered was end-to-end range-based online feature retrieval in the Go HTTP server, including a new range-capable endpoint, enhanced sorting key filter protobuf serialization to support range queries, and addition of equals-type filters. Additional improvements included memory management optimizations for CGO-based online feature calls, improved API response formatting, and production-ready logging. Robustness improvements for scenarios where the feature service is not provided were completed, along with cleanup of temporary debug statements to production logs.
May 2025
13 Commits • 1 Features
May 1, 2025May 2025 performance summary focused on delivering scalable online feature retrieval capabilities and improving reliability for Feast (ExpediaGroup/feast). The primary feature delivered was end-to-end range-based online feature retrieval in the Go HTTP server, including a new range-capable endpoint, enhanced sorting key filter protobuf serialization to support range queries, and addition of equals-type filters. Additional improvements included memory management optimizations for CGO-based online feature calls, improved API response formatting, and production-ready logging. Robustness improvements for scenarios where the feature service is not provided were completed, along with cleanup of temporary debug statements to production logs.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered a robustness upgrade to range query processing in Feast, expanding supported query scenarios by relaxing type validations and improving stability. The changes in ExpediaGroup/feast enhance reliability for mixed-type inputs and UNIX timestamp handling, enabling broader business use cases with minimal disruption.
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered a robustness upgrade to range query processing in Feast, expanding supported query scenarios by relaxing type validations and improving stability. The changes in ExpediaGroup/feast enhance reliability for mixed-type inputs and UNIX timestamp handling, enabling broader business use cases with minimal disruption.
April 2025
March 2025
9 Commits • 1 Features
Mar 1, 2025March 2025: Implemented range-based online feature retrieval in Feast for ExpediaGroup/feast, enabling range queries via GetOnlineFeaturesRange. Delivered new data structures (RangeFeatureVector, GroupedRangeFeatureRefs), a Go feature store range API, and a range-aware gRPC endpoint, with proto updates, tests, and improved error handling. Refactors to maximize code reuse between the feature store and online serving, and strengthened test coverage.
March 2025
9 Commits • 1 Features
Mar 1, 2025March 2025: Implemented range-based online feature retrieval in Feast for ExpediaGroup/feast, enabling range queries via GetOnlineFeaturesRange. Delivered new data structures (RangeFeatureVector, GroupedRangeFeatureRefs), a Go feature store range API, and a range-aware gRPC endpoint, with proto updates, tests, and improved error handling. Refactors to maximize code reuse between the feature store and online serving, and strengthened test coverage.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for ExpediaGroup/feast: Delivered key enhancements to online feature serving and improved test reliability, with a clear focus on business value and maintainability.
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for ExpediaGroup/feast: Delivered key enhancements to online feature serving and improved test reliability, with a clear focus on business value and maintainability.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered targeted Spark materialization improvements in Feast to boost performance and robustness. Reused the online store instance for materialization writes and implemented safe handling for empty DataFrames, reducing errors and improving reliability in production data pipelines. The work enhances data freshness and system stability for Spark-based materialization workflows.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered targeted Spark materialization improvements in Feast to boost performance and robustness. Reused the online store instance for materialization writes and implemented safe handling for empty DataFrames, reducing errors and improving reliability in production data pipelines. The work enhances data freshness and system stability for Spark-based materialization workflows.
Activity
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Quality Metrics
Correctness86.2%
Maintainability84.6%
Architecture78.8%
Performance73.2%
AI Usage22.2%
Skills & Technologies
Programming Languages
GoJSONMakefilePythonTypeScriptprotobuf
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI TestingAlgorithm OptimizationArrowBackend DevelopmentCI/CDCode CleanupCode RefactoringData EngineeringData FormattingData HandlingData RetrievalData Serialization
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