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Денис Колесников

@0007048

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Engineer at Huawei optimizing oneDNN and LLM inference on Kunpeng ARM platforms.

Russian Federation

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What I'm looking for

I’m looking to contribute to international teams engineering AI inference and compute systems, with a focus on high-throughput LLM serving, applied mathematics, and low-level hardware optimization.

At Huawei (Russian Research Institute), I maintain and optimize a custom oneDNN fork for Huawei Kunpeng ARM platforms. I tune compute-intensive kernels and LLM serving pipelines to improve inference throughput.

At Research Lobachevsky State University of Nizhny Novgorod (UNN), I research mathematical models of nonlinear dynamics using Julia, MATLAB, and Python. For my diploma project, I analyzed coupled oscillator dynamics and proposed a computationally simple approach to studying brain neural synchronization.

At Yadro, I worked on the open-source OpenBLAS implementation of BLAS and LAPACK, improving performance, fixing issues, and increasing test coverage for RISC-V kernels. I’m interested in applied mathematics, high-performance computing, and low-level optimization for LLM inference and compute systems.

Experience

Work history, roles, and key accomplishments

Current

Engineer

Current

Huawei Russian Research Institute

Aug 2024 - Present (2 years 2 months)

Maintained and optimized a custom fork of oneDNN for ARM platforms, engineered compute-intensive kernels with JIT assembly and vector intrinsics, and profiled high-throughput LLM serving pipelines. Developed and optimized a parallel solver framework for computational mathematics applications.

C++OneDNN MPI OpenMP SIMD AVX2 AVX 512 NEON ISPC Xbyak VLLM LLamacpp Sglang ONNX Runtime TensorFlow

Current

Junior Researcher

Current

Lobachevsky State University of Nizhny Novgorod

Aug 2023 - Present (3 years 2 months)

Research and develop mathematical models of nonlinear dynamics using Julia, MATLAB, and Python at the Institute of Information Technology, Mathematics and Mechanics.

Julia Matlab Python Mathematical Modeling Nonlinear Dynamics

Math Libraries Engineering Intern

Yadro

Jun 2023 - Aug 2023 (2 months)

Worked on open-source implementation of BLAS and LAPACK APIs (OpenBLAS), improving performance, fixing issues, and increasing test coverage for RISC-V specialized kernels.

OpenBLAS BLAs LAPACK RISC V Performance Optimization Testing

Education

Degrees, certifications, and relevant coursework

Lobachevsky State University of Nizhny Novgorod

Master, Applied Mathematics and Computer Science

2024 -

Master's degree in Applied Mathematics and Computer Science with focus on computational methods and supercomputing technologies, expected to complete in 2027.

Lobachevsky State University of Nizhny Novgorod

Bachelor, Fundamental Computer Science and Information Technologies

2020 - 2024

Bachelor's degree in Fundamental Computer Science and Information Technologies from Lobachevsky State University of Nizhny Novgorod, completed in 2024.