IBM/velox
Apr 2025 – Sep 2025
5 Months active
Languages Used
C++CMakeYAMLSQL
Technical Skills
C++CMakeCUDAData ProcessingGPU ComputingPerformance Optimization
Devavret Makkar
PROFILE
Devavret Makkar
During five months contributing to IBM/velox, Deep Makkar developed GPU-accelerated data processing features, including cuDF-based OrderBy and HashAggregation operators, enabling faster analytics on large datasets. He integrated CUDA and C++ to build seamless interoperability between Velox and cuDF, implemented Parquet IO for end-to-end GPU workloads, and enhanced code ownership governance for maintainability. Deep also addressed robustness by fixing aggregation edge cases and expanding expression support, such as VARCHAR literals and nested precompute expressions. His work included refactoring for Hive integration with CPU fallback, improving build stability, and advancing query optimization, demonstrating depth in system integration and performance engineering.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
11Total
Bugs
3
Commits
11
Features
7
Lines of code
16,559
Activity Months5
Your Network
1414 people
Work History
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for IBM/velox, highlighting delivery of cuDF-based data processing enhancements, Hive integration with CPU fallback, and stabilization work to CI/build and average aggregation behavior.
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for IBM/velox, highlighting delivery of cuDF-based data processing enhancements, Hive integration with CPU fallback, and stabilization work to CI/build and average aggregation behavior.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 (2025-08) performance summary for IBM/velox focusing on robustness and expression capabilities. Delivered a critical bug fix for empty-input handling in CudfHashAggregation and implemented VARCHAR literals handling in cudf expression trees, with accompanying tests to validate string literal expansion and usage in comparisons/projections. These changes enhance stability for empty datasets and broaden SQL compatibility (e.g., TPCH Q21 support in Presto).
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 (2025-08) performance summary for IBM/velox focusing on robustness and expression capabilities. Delivered a critical bug fix for empty-input handling in CudfHashAggregation and implemented VARCHAR literals handling in cudf expression trees, with accompanying tests to validate string literal expansion and usage in comparisons/projections. These changes enhance stability for empty datasets and broaden SQL compatibility (e.g., TPCH Q21 support in Presto).
June 2025
2 Commits • 2 Features
Jun 1, 2025June 2025 (IBM/velox) monthly summary focusing on delivering GPU-accelerated data processing and governance improvements that unlock faster analytics and streamlined reviews. Implemented cuDF-enabled operators and Parquet IO to enable end-to-end GPU-accelerated workloads, and updated Code Owners for the cudf adapter to clarify ownership and speed up reviews. No major bugs recorded in this period; primary value came from performance gains and maintainability improvements. Impact: higher query throughput, reduced CPU load, and faster review cycles due to clearer ownership. Technologies demonstrated: CUDA/cuDF, Parquet IO, Velox architecture, and Git-based governance.
2 Commits • 2 Features
Jun 1, 2025June 2025 (IBM/velox) monthly summary focusing on delivering GPU-accelerated data processing and governance improvements that unlock faster analytics and streamlined reviews. Implemented cuDF-enabled operators and Parquet IO to enable end-to-end GPU-accelerated workloads, and updated Code Owners for the cudf adapter to clarify ownership and speed up reviews. No major bugs recorded in this period; primary value came from performance gains and maintainability improvements. Impact: higher query throughput, reduced CPU load, and faster review cycles due to clearer ownership. Technologies demonstrated: CUDA/cuDF, Parquet IO, Velox architecture, and Git-based governance.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary for IBM/velox focusing on business value and technical achievements. Key feature delivered: CuDF-based HashAggregation Operator for Velox with enhanced NVTX profiling. This introduces GPU-accelerated aggregation support for Velox, enabling sum, min, max, count, and avg, and provides richer profiling labels for observability. Overall impact: Established GPU-accelerated aggregation capability in Velox, unlocking faster analytics workloads and improved performance debugging through enhanced NVTX labels. Lays a foundation for broader GPU-enabled analytics in the Velox stack and potential performance gains in customer use cases that rely on large-scale aggregations. Repository: IBM/velox Technologies/skills demonstrated: CUDA/cuDF integration, GPU-accelerated operator design, NVTX profiling, Velox operator development, code contribution and review practices. Commits noted: feat(cudf): Add cudf based HashAggregation operator (#13368) - f5dbfc5d0a9080cbc91787eefce4d6bab0790014
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary for IBM/velox focusing on business value and technical achievements. Key feature delivered: CuDF-based HashAggregation Operator for Velox with enhanced NVTX profiling. This introduces GPU-accelerated aggregation support for Velox, enabling sum, min, max, count, and avg, and provides richer profiling labels for observability. Overall impact: Established GPU-accelerated aggregation capability in Velox, unlocking faster analytics workloads and improved performance debugging through enhanced NVTX labels. Lays a foundation for broader GPU-enabled analytics in the Velox stack and potential performance gains in customer use cases that rely on large-scale aggregations. Repository: IBM/velox Technologies/skills demonstrated: CUDA/cuDF integration, GPU-accelerated operator design, NVTX profiling, Velox operator development, code contribution and review practices. Commits noted: feat(cudf): Add cudf based HashAggregation operator (#13368) - f5dbfc5d0a9080cbc91787eefce4d6bab0790014
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for IBM/velox focusing on key accomplishments and business impact. Implemented a CuDF-based GPU-accelerated OrderBy operator to replace the existing Velox sorting operators, enabling GPU-accelerated sorting for large datasets. This involved building cuDF data handling, driving interoperation between Velox and cuDF, and creating a driver adapter for seamless integration across components.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for IBM/velox focusing on key accomplishments and business impact. Implemented a CuDF-based GPU-accelerated OrderBy operator to replace the existing Velox sorting operators, enabling GPU-accelerated sorting for large datasets. This involved building cuDF data handling, driving interoperation between Velox and cuDF, and creating a driver adapter for seamless integration across components.
April 2025
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Quality Metrics
Correctness94.6%
Maintainability85.4%
Architecture89.0%
Performance90.0%
AI Usage21.8%
Skills & Technologies
Programming Languages
C++CMakeSQLYAML
Technical Skills
AST GenerationBuild SystemsC++C++ DevelopmentCMakeCUDACode Ownership ManagementData AggregationData ConnectorsData FilteringData ProcessingDatabase InternalsDebuggingError HandlingExpression Evaluation
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