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Radovan Božić

PROFILE

Radovan Božić

Radovan Bozic enhanced the tenstorrent/tt-mlir repository by expanding TTIR to Linalg lowering, introducing a generic elementwise conversion pattern to support a wide range of math operations and implementing robust softmax and transpose lowerings with dynamic dimension handling. He used C++ and MLIR to ensure portability and future optimization opportunities, deferring certain optimizations to the Linalg dialect for maintainability. In the swiftlang/llvm-project repository, Radovan improved documentation by clarifying builtin attribute markers in Builtins.def, aligning with LLVM/Clang conventions. His work demonstrated depth in compiler development, low-level optimization, and documentation best practices, contributing to code clarity and maintainability.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
2
Lines of code
253
Activity Months2

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 performance summary for swiftlang/llvm-project: Focused, non-functional documentation enhancement to improve user comprehension and accuracy. Key deliverable: Clarified builtin attribute markers in Builtins.def by quoting literal markers to distinguish them from placeholders, improving readability for users. This change is NFC and was implemented as a documentation patch tied to PR #160080, with commit f3f5d8bea836e01a2bc12edf5980c3a51de2fd7a. Business value: reduces ambiguity for developers reading LLVM/Clang docs, lowers support friction, and aligns docs with LLVM/Clang conventions. Technologies/skills demonstrated: documentation best practices, LLVM/Clang docs standards, NFC commits, patch workflow, and traceable change history.

March 2025

3 Commits • 1 Features

Mar 1, 2025

March 2025: TT-MLIR backend enhancements for TTIR to Linalg lowering. Delivered expanded lowering support from TTIR dialect to Linalg, covering a broad set of elementwise math operations through a generic elementwise conversion pattern. Recognized Math dialect as legal to facilitate lowering, and added robust softmax lowering from TTIR to Linalg with correct handling of positive/negative dimension attributes and accompanying tests. Implemented 2D+ transpose lowering from TTIR to Linalg for dynamic permutations with support for negative indices, with optimizations deferred to Linalg. These changes broaden backend coverage, improve portability of models, and set up future performance improvements and easier maintenance.

Activity

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Quality Metrics

Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++MLIR

Technical Skills

Compiler DevelopmentDocumentationLow-Level OptimizationMLIRMLIR ConversionsTensor Operations

Repositories Contributed To

2 repos

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

tenstorrent/tt-mlir

Mar 2025 Mar 2025
1 Month active

Languages Used

C++MLIR

Technical Skills

Compiler DevelopmentLow-Level OptimizationMLIRMLIR ConversionsTensor Operations

swiftlang/llvm-project

Sep 2025 Sep 2025
1 Month active

Languages Used

C++

Technical Skills

Compiler DevelopmentDocumentation

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