Hi, I'm Jacob Sushenok

Aspiring Software Engineer with Machine Learning and Data Engineering knowledge

Contact Me

Projects

Song Genre Classification Using Multi-Task Deep Learning and BERT


This study explored the application of MultiTask Learning (MTL) in the domain of song genre classification. Two hard parameter sharing architectures based on CNN and BERT models were employed for this purpose. Further, both architectures were trained with a range of auxiliary tasks concerning song characteristics such as romance, violence, and sadness to assess the impact of their addition on the target task of genre classification.

Stack
  • Python
  • PyTorch

Image Segmentation Using Multi-Task Deep Learning


This study explored an MTL approach to image segmentation. An MTL framework that combines minimum bounding boxes and image-level classification was implemented and evaluated with the target task of pixel-level segmentation.

Stack
  • Python
  • PyTorch

Technologies

I've worked with a wide range of tech, creating websites, machine learning models and even smart contracts.

  • Languages

    Python
    Java
    JavaScript
    TypeScript
    R
    SQL
    Solidity
    HTML/CSS

  • Frameworks

    React
    Node.js
    Next.js
    Spring Boot
    TensorFlow
    PyTorch
    Django

  • Developer Tools and Software

    Git
    Power Bi
    Tableau
    Google Analytics
    Data Studio
    MS Office

About Me

I am currently a masters student at University College London studying Machine Learning with a 4.0 GPA average so far. Before that I have completed my Bachelor's degree in Mathematics and Statistics at the University of Warwick. During both degrees I have taken software engineering related classes like Algorithms, Databases etc. I have also been self-studying in my free time. When I finish my degree in September, I would like to start working as either a Software Engineer, Data Analyst/Engineer.

Contact

  • Phone

    +12072490184

  • Email

    yakovsushenok@gmail.com

Citizenships: US, UK, Israel