DevTeam.Space Developer Profile, Daniil

Daniil

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

Europe
Experience: 5 years
Availability: Full-time
Hire Daniil
Europe
Experience: 5 years
Availability: Full-time
ML and Data Science Developer at DevTeam.Space since November 1, 2021

Daniil  is a data scientist with 5 years of experience in machine learning.

Also worked with
PyTorch MLFlow Tensorflow Keras
Location:
Europe
Experience: 5 years
Availability: Full-time
Skills and Qualifications

Languages

  • Python

Frameworks

  • PyTorch

Libraries/APIs

  • Tensorflow
  • Keras

Tools

  • Docker
  • DVC

Platforms

  • MLFlow

Featured DevTeam.Space Projects

Natural Language Processing for a Book Publisher

Machine Learning

Ecommerce

Europe

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

A natural language processing engine to classify ebooks by genre and customize social ads.

Details
NEC - Face, Sex, Age, Video Emotion Recognition System

Computer Vision

Security

Europe

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

A set of computer vision tools to accurately identify people in the video stream and analyze their movements and emotions.

Details

Some of Daniil’s Projects

Dozor

Data Scientist

This was a project for a carsharing hiring. The project involved creating a system that allowed it to detect and recognize all the faces in the car as well as to detect whether any persons are smoking. The system was required to work offline which was an added challenge. Daniil created a facial recognition solution that could then be embedded into the car’s computer device. He also implemented a cigarette detection solution and a microhiring for preparing face vectors to allow for comparison on a device.

This was a project for a carsharing hiring. The project involved creating a system that allowed it to detect and recognize all the faces in the car as well as to detect whether any persons are smoking. The system was required to work offline which was an added challenge. Daniil created a facial...

Read more
  • YOLOv5
  • MobileFaceNet
  • Python
  • Tensorflow
  • Keras
  • Flask
  • Docker
  • Tensorflow-Lote
  • MLFlow
  • DVC

Recognition of goods on the shelves

Data Scientist

A solution was needed for merchandisers who compare the real arrangement of goods (realograms) with a plan (planogram). OCR and one-shot learning were used to search the product database using triplet loss network training. The generation of images in Blender was required, as was the development of tools marking real goods. Daniil experimented with various detection and classification approaches, taught OCR models, developed image generation using Blender, and ported and optimized models for Android devices.

A solution was needed for merchandisers who compare the real arrangement of goods (realograms) with a plan (planogram). OCR and one-shot learning were used to search the product database using triplet loss network training. The generation of images in Blender was required, as was the development of...

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  • Python
  • Keras
  • Tensorflow
  • Tensorflow-Serving
  • YOLOv3
  • one-shot learning

Hitfactor

Data Scientist

A project that was required to find athletic starting signals or shots on a soundtrack. Daniil helped develop an architecture using convolutional and recurrent neural networks. He was also required to allow the system to be able to separate shots coming from other directions, which are not important.

A project that was required to find athletic starting signals or shots on a soundtrack. Daniil helped develop an architecture using convolutional and recurrent neural networks. He was also required to allow the system to be able to separate shots coming from other directions, which are not...

Read more
  • Python
  • Keras
  • Tensorflow
  • Librosa