DevTeam.Space Developer Profile, Kirill

Kirill

DevTeam.Space Developer Profile, Kirill ML and Data Science Developer

Europe
Availability: Full-time
Hire Kirill
Europe
Availability: Full-time
ML and Data Science Developer at DevTeam.Space since November 15, 2021

Kirill is a data scientist with 5 years of experience specializing in machine learning, working with both startups and enterprise clients.

Expert In
Machine Learning Python
Location:
Europe
Availability: Full-time
Skills and Qualifications

Languages

  • Python

Frameworks

  • PyTorch

Tools

  • Docker
  • DVC

Platforms

  • MLFlow

Featured DevTeam.Space Projects

Natural Language Processing for a Book Publisher

AI, B2B, Backend, ML, Python, Recommendation Engine, TensorFlow

Eksmo is one of the largest publishing houses in Russia. Our machine learning dev team developed neural networks for classifying books by genres. The final system allowed the customer to create a recommendation engine featuring certain books on the publishing house’s advertisements.

Details
Neural Network Library

AI, Backend, Image Recognition, ML, Python, TensorFlow

Neural Network Library

Details

Some of Kirill’s Projects

Video Podcasts

Data Scientist

For a podcast startup, Kirill developed a system to segment text into semantic paragraphs. Utilizing transformer architectures and various Bert models, he enabled the automatic division of podcast texts into meaningful sections and the generation of titles for these sections.

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  • Android
  • Python
  • PyTorch
  • Docker
  • MLFlow
  • DVC

Hitfactor

Data Scientist

In this project aimed at detecting starting signals or shots in athletic events, Kirill designed a system architecture employing convolutional and recurrent neural networks. His work focused on enabling the system to distinguish and ignore irrelevant sounds coming from different directions.

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  • Python
  • Keras
  • Tensorflow
  • Librosa

Vehicle Detection and License Plate Recognition

Data Scientist

Kirill tackled the challenge of identifying traffic violations by creating a system for vehicle detection, multi-angle identification, violation detection, and license plate recognition. This involved exploring various OCR methods to accurately recognize license plates.

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  • PyTorch