iree-org/wave
Feb 2026 – Mar 2026
2 Months active
Languages Used
Python
Technical Skills
Algorithm DevelopmentData StructuresPythonmachine learningnumerical computingtesting
Aditya Kankariya
PROFILE
Aditya Kankariya
Aditya Kankar contributed to the iree-org/wave repository by developing two core features over a two-month period. He implemented a flexible task scheduling interleaving mechanism within the execution engine, enabling complex scheduling patterns and adaptive workload management using Python and advanced data structures. In the following month, he expanded the MXFP4 GEMM kernel to support BF16 output, enhancing numerical stability and efficiency for machine learning workloads. His work included end-to-end validation and comprehensive test coverage, demonstrating a methodical approach to algorithm development and numerical computing. All contributions were delivered with clear commit practices, laying groundwork for future performance improvements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
109
Activity Months2
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Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for iree-org/wave: Delivered BF16 output support for the MXFP4 GEMM kernel, with end-to-end validation and expanded numeric precision options to BF16 to improve ML workload efficiency and stability. Strengthened test coverage and demonstrated cross-cutting kernel and test automation skills.
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for iree-org/wave: Delivered BF16 output support for the MXFP4 GEMM kernel, with end-to-end validation and expanded numeric precision options to BF16 to improve ML workload efficiency and stability. Strengthened test coverage and demonstrated cross-cutting kernel and test automation skills.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 - iree-org/wave: Implemented a Flexible Task Scheduling Interleaving feature to enable flexible interleaving of operations and support complex scheduling patterns in the execution engine. Delivered with a focused change set and proper sign-offs, setting the stage for broader rollout and workload-adaptive scheduling.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 - iree-org/wave: Implemented a Flexible Task Scheduling Interleaving feature to enable flexible interleaving of operations and support complex scheduling patterns in the execution engine. Delivered with a focused change set and proper sign-offs, setting the stage for broader rollout and workload-adaptive scheduling.
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm DevelopmentData StructuresPythonmachine learningnumerical computingtesting
Repositories Contributed To
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