Yuriy Turchin

Yuriy Turchin

Tbilisi, Georgia
66 followers 65 connections

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About

I am an experienced developer and cloud engineer with a deep understanding of machine…

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Experience

Education

Projects

  • Parkvision

    -

    Building cloud-infra + web app to provide car-parking analysis by street IP cameras.

    Implemented features:
    - parking lot load estimating
    - controlling the admission of incoming cars based on license plate recognition.
    - scalable cloud infrastructure allows to process of thousands of cameras at the same time

    (Pytorch, Openvino, Kubernetes, FastApi)

  • Sport Video Analytics

    -

    Training and implementing machine learning models to solve various sports video broadcasting tasks such as fan detection, ad detection, etc.
    - Building sub-services to collect/mark train datasets (Flask/SQL)
    - Building automatic pipelines to grab/versioning/modify data and train model on the AWS cloud. (EC2, Luigi, Docker, Dropbox API)
    - Deploying the models as microservices (Flask, Tensorflow)

    Models are now actively used in production and have significantly reduced the amount…

    Training and implementing machine learning models to solve various sports video broadcasting tasks such as fan detection, ad detection, etc.
    - Building sub-services to collect/mark train datasets (Flask/SQL)
    - Building automatic pipelines to grab/versioning/modify data and train model on the AWS cloud. (EC2, Luigi, Docker, Dropbox API)
    - Deploying the models as microservices (Flask, Tensorflow)

    Models are now actively used in production and have significantly reduced the amount of manual labour.

  • OCR Cheque Scanner for a Banking App

    -

    Extracting printed and handwritten text from pictures of cheques. Automated the workflow for an international bank. Trained a custom neural network as an end-to-end data-driven solution. Provided a pipeline to increase the engine’s accuracy with more labeled images without required knowledge of programming. Reduced the time needed to go through the cheques manually. Achieved an accuracy of 99% with a recall value of 98%.

    (Tensorflow-Keras, CTC-loss)

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