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
Worked on the iree-org/wave repository to deliver two core features over a two-month period, focusing on execution engine enhancements and machine learning kernel improvements. Developed a flexible task scheduling interleaving mechanism, enabling complex scheduling patterns and adaptive workload support through algorithm development and data structure design in Python. Subsequently, added BF16 output support to the MXFP4 GEMM kernel, expanding numerical precision options and improving efficiency for machine learning workloads. Ensured robust validation by integrating end-to-end tests and maintaining code quality with clear commit practices. Demonstrated strengths in numerical computing, testing, and Python-based development for high-performance ML infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
109
Activity Months2
Your Network
1651 peopleSame Organization
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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
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