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Jabari-He

PROFILE

Jabari-he

Over four months, contributed to seclabBupt/aiacc by building and documenting features that enhance onboarding, model conversion, and compiler infrastructure. Developed comprehensive C++ and MLIR learning documentation, established a robust ONNX-to-MLIR conversion pipeline using Python, and implemented MLIR optimization passes for shape computation and code hygiene. Delivered Windows-specific MLIR labs, improving cross-platform support and reducing onboarding friction. Focused on maintainability by consolidating and updating documentation, standardizing onboarding materials, and aligning technical guides with evolving workflows. Leveraged C++, Python, and MLIR, demonstrating depth in compiler development, build systems, and domain-specific language integration without introducing user-facing bugs during this period.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

24Total
Bugs
0
Commits
24
Features
7
Lines of code
31,021
Activity Months4

Work History

October 2025

5 Commits • 1 Features

Oct 1, 2025

Month 2025-10 — Focused on delivering Windows-specific MLIR labs and strengthening onboarding and docs for seclabBupt/aiacc. Implemented Windows LLVM labs for MLIR, including environment setup, build toolchain, dialects and passes, and lab tutorials. Performed documentation cleanup and consolidation to improve maintainability and reduce onboarding friction. No major user-facing bugs detected; maintenance updates included doc hygiene and renaming files to reflect localized Windows environments. Overall, these efforts improve developer velocity, contribute to platform reliability, and lay groundwork for cross-platform lab expansions.

September 2025

9 Commits • 2 Features

Sep 1, 2025

September 2025 performance summary for seclabBupt/aiacc focused on establishing a robust ONNX-to-MLIR conversion pathway and advancing MLIR-based optimization for shape computation. The work strengthens the model deployment stack, accelerates downstream backends, and improves maintainability through documentation and code hygiene.

August 2025

2 Commits • 2 Features

Aug 1, 2025

Monthly performance summary for 2025-08 focusing on feature-driven progress in seclabBupt/aiacc, with two major deliverables: Top Dialect Definition in MLIR and TPU-MLIR Compiler Infrastructure Documentation. These work items advance architectural clarity, improve maintainability, and accelerate TPU deployment workflows.

July 2025

8 Commits • 2 Features

Jul 1, 2025

Concise monthly summary for 2025-07 focused on business value and technical achievements for seclabBupt/aiacc. Delivered two major documentation features: C++ Learning Notes and MLIR Learning Documentation Suite. No major bug fixes were required this month. Overall impact: improved onboarding, developer enablement, and MLIR adoption; reinforced knowledge sharing and maintainability of the learning repository. Technologies used include C++, MLIR concepts, Markdown documentation, and Git-based version control.

Activity

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Quality Metrics

Correctness97.8%
Maintainability97.8%
Architecture97.8%
Performance95.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++CMakeLLVM IRMLIRMLIR IRMarkdownPythonShellTableGen

Technical Skills

AlgorithmsBuild SystemsC++C++ DevelopmentCMake Build SystemCode DocumentationCode GenerationCompiler DesignCompiler DevelopmentCompiler OptimizationControl Flow AnalysisCustom Dialect DefinitionCustom Type DefinitionData StructuresDead Code Elimination

Repositories Contributed To

1 repo

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

seclabBupt/aiacc

Jul 2025 Oct 2025
4 Months active

Languages Used

C++CMakeMarkdownTableGenLLVM IRPythonMLIRMLIR IR

Technical Skills

AlgorithmsC++CMake Build SystemCompiler DesignCompiler DevelopmentCustom Dialect Definition