Dmitrii is available for hire

Dmitrii Murygin

Verified Expert in Engineering

Software Developer

Location

Bishkek, Chuy Province, Kyrgyzstan

Toptal Member Since

December 7, 2021

Dmitrii is an experienced C++ developer and deep learning engineer. As a middle C++ developer he has five years of experience in research computation related projects. As a deep learning engineer he has two years of solid experience in NLP direction connected to transformer and BERT based models.

Ubuntu C++C Deep Learning Git Python 3 Visual Studio Code (VS Code)CMake OpenMP TensorFlow Natural Language Processing (NLP)Machine Learning PyTorch Google Test (GTest)ONNX LLVM

Portfolio

Innopraktika

C++, CMake, Clang, Google Test, Git, Ubuntu, Visual Studio Code (VS Code)...

Huawei Technologies Co.

Python 3, TensorFlow, PyTorch, BERT, Custom BERT, Neural Networks

Experience

C++ - 5 years Git - 5 years Ubuntu - 5 years C - 4 years Python 3 - 4 years Google Test - 3 years CMake - 3 years TensorFlow - 2 years

Availability

Part-time

Preferred Environment

Ubuntu, Visual Studio Code (VS Code), CMake, Clang, Python 3, Vim Text Editor, C++

The most amazing...

...model I’ve developed is a BERT model in C++ that has the same performance on a mobile device as made using ONNX Runtime.

Work Experience

Research Software Engineer

2021 - PRESENT

Innopraktika

Developed a new method of 3D image segmentation based on supervoxel clusterization.
Developed a new method of pore-network extraction based on discrete Morse theory.
Implemented three parallel algorithms for 3D image segmentation and two parallel algorithms for 3D image filtering.
Implemented a cutting-edge programming module to simulate fluid filtration in pore-network models.

Technologies: C++, CMake, Clang, Google Test, Git, Ubuntu, Visual Studio Code (VS Code), OpenMP

Developer/Researcher

2018 - 2021

Huawei Technologies Co.

Developed a BERT model for mobile devices using C++. Compared it with other BERT versions converted from the most famous frameworks.
Made some contributions to various projects such as TensorFlow, Swift, LLVM, Stardust, and TVM.
Implemented the following neural network compression techniques: quantization, distillation, and prunning.

Technologies: Python 3, TensorFlow, PyTorch, BERT, Custom BERT, Neural Networks

Experience

Mobile BERT Benchmark

https://github.com/Vooblin/onnxbert

A benchmark for BERT I created that is converted by ONNX for mobile devices. It is possible to get performance for tiny, base, and large versions of the BERT model. To create a mobile BERT version, it uses the ONNX Runtime tool and creates a fused BERT model.

Education

2014 - 2018

Bachelor's Degree in Mathematics and Computer Science

Moscow State University - Moscow, Russia

Skills

Libraries/APIs

TensorFlow, OpenMP, PyTorch

Tools

CMake, Git, Vim Text Editor

Platforms

Ubuntu, Visual Studio Code (VS Code)

Languages

C, C++, Python 3

Frameworks

Google Test

Other

Clang, Deep Learning, LLVM, Machine Learning, Natural Language Processing (NLP), BERT, Custom BERT, Neural Networks, Open Neural Network Exchange (ONNX), GPT, Generative Pre-trained Transformers (GPT)

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