
Mikhail Petrushkov
Software Engineer

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About me
AI Algorithm Engineer
Education
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Nizhniy Novgorod State Technical University named after R.Y. Alekseev (NSTU)
2013 - 2015Master's degree Radar Communications and Systems Technology.webp)
Nizhniy Novgorod State Technical University named after R.Y. Alekseev (NSTU)
2009 - 2013Bachelor's degree Radar Communications and Systems Technology
Experience

Itseez
Jul 2015 - Nov 2015Software Engineer• Developed and optimized OpenVX extensions, resulting in significant speedimprovements of computer vision algorithms through efficient image processing oncustomer hardware.

Intel Corporation
Feb 2017 - Oct 2018Software Engineer• Collaborated on the development, validation and bug fixing of an Intel cross-platformlibrary for developing media applications on Windows and Embedded Linux(MediaSDK), specifically for video encoding, decoding and video/image processing.• Successfully resolved critical customer issues.• Provided internal training to empower team members with the necessary knowledge.

IntelliVision
Oct 2018 - Dec 2019R&D Engineer• Explored and implemented deep learning methods for object detection andclassification, including datasets preparation, model training and evaluation.• Optimized deep learning models for integration on embedded hardware, focusing ongraph optimization and model quantization.

Luxoft
Jan 2020 - Jan 2021Software Engineer• Developed deep learning algorithms for efficient post-processing in the renderingpipeline.• Evaluated various methods for denoising Monte Carlo rendering results.• Contributed to the development of a cross-platform inference engine forGPU-accelerated inference of neural network models.

Intel Corporation
Jan 2021 - now• Conducted research on deep learning algorithms for real-time image enhancement in 3D rendering pipelines, focusing on anti-aliasing and super-resolution.• Enhanced ML R&D infrastructure by developing a distributed training and evaluation framework; implemented a distributed data generation pipeline, reducing the time required for setting up the data generation by over 70%.• Improved training speed by 40% through custom Pytorch operations in CUDA.
AI Algorithm Engineer
Aug 2022 - nowDeep Learning Software Engineer
Jan 2021 - Aug 2022
Licenses & Certifications
- View certificate

Интерактивный тренажер по SQL
Stepic.orgOct 2020 - View certificate

SQL for Data Science
CourseraOct 2020 - View certificate

Build Better Generative Adversarial Networks (GANs)
Deeplearning.aiOct 2020 - View certificate

Machine Learning by Stanford University
CourseraJan 2017 - View certificate

Convolutional Neural Networks by deeplearning.ai
CourseraSept 2018 - View certificate

Build Basic Generative Adversarial Networks (GANs)
Deeplearning.aiOct 2020 - View certificate

Sequence Models by deeplearning.ai
CourseraOct 2019 - View certificate

Structuring Machine Learning Projects by deeplearning.ai
CourseraSept 2018 - View certificate

Neural Networks and Deep Learning by deeplearning.ai
CourseraSept 2018 - View certificate

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by deeplearning.ai
CourseraSept 2018
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