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Vladimir Zeljkovic

PROFILE

Vladimir Zeljkovic

Vladimir Zeljkovic worked on infrastructure refactoring and feature development across the tenstorrent/tt-xla and tenstorrent/tt-mlir repositories. He unified JAX and Torch workload handling by reorganizing core methods and removing the Workload Factory, which reduced code complexity and improved maintainability. In tt-mlir, he implemented logical left and right bitwise shift operations for the TTIR and TTNN dialects, including op definitions, verification, model interfaces, and comprehensive tests. Using C++, MLIR, and Python, Vladimir’s work enhanced low-level optimization and code organization, enabling broader MLIR-based capabilities and positioning the codebase for faster iteration and easier platform support.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
2
Lines of code
2,173
Activity Months1

Work History

August 2025

4 Commits • 2 Features

Aug 1, 2025

August 2025 monthly summary focusing on key accomplishments across two repositories (tenstorrent/tt-xla and tenstorrent/tt-mlir). Key activities centered on infrastructure refactor, workload unification, and the introduction of new TTIR/TTNN dialect bitwise operations. The work delivered tangible business value by reducing complexity, improving maintainability, and enabling broader MLIR-based capabilities across JAX and Torch workloads.

Activity

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Quality Metrics

Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++MLIRPython

Technical Skills

Bitwise OperationsCode OrganizationCode SimplificationCompiler DevelopmentDialect ExtensionInfrastructure ManagementLow-Level OperationsLow-Level OptimizationMLIRRefactoringSoftware DesignTensor Operations

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

tenstorrent/tt-xla

Aug 2025 Aug 2025
1 Month active

Languages Used

Python

Technical Skills

Code OrganizationCode SimplificationInfrastructure ManagementRefactoringSoftware Design

tenstorrent/tt-mlir

Aug 2025 Aug 2025
1 Month active

Languages Used

C++MLIR

Technical Skills

Bitwise OperationsCompiler DevelopmentDialect ExtensionLow-Level OperationsLow-Level OptimizationMLIR

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