Eric Tom Mathews

Eric Tom Mathews

Deep Learning Intern

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location of Eric Tom MathewsLeeds, England, United Kingdom

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  • Timeline

  • About me

    ML Engineer | MSc in Artificial Intelligence | Former Data Analyst at EY

  • Education

    • Mar Thoma Residential School

      2010 - 2015
      91%
    • Saintgits College of Engineering (Autonomous)

      2015 - 2019
      Bachelor of Technology - BTech Computer Science 69%
    • University of Stirling

      2022 - 2023
      Master of Science - MS Artificial Intelligence Distinction

      Acquired a set of technical skills throughout this master’s programme, encompassing Image Processing, Deep Neural Networks, Python programming, Statistical Analysis and Hypothesis Testing, Optimisation Algorithms, Stochastic Processes - notably Markov Chains - and a comprehensive understanding of Machine Learning Algorithms. Honed essential soft skills, including doing projects as a team, and the critical analysis of research papers.

    • Bethany Academy,Kerala

      2001 - 2010
    • Great Learning

      2019 - 2020
      Postgraduate Degree Data Science and Engineering Distinction
  • Experience

    • Bennett University

      Jun 2018 - Jun 2018
      Deep Learning Intern

      4 weeks Summer Internship on Artificial Intelligence and Deep Learning

    • EY

      May 2020 - Sept 2021
      Associate Analyst

      Whilst working as a data analyst on EY's Data and Analytics team, engaged in a wide spectrum of development and client-facing projects, often navigating complex and demanding scenarios. In addition to mastering technical competencies such as Machine Learning, Python, and TensorFlow, had the privilege of representing EY in managing critical international clients with exacting standards and high expectations.

    • Katchr

      May 2024 - now
      Machine Learning Engineer
    • University of Leeds

      May 2024 - now
      KTP Associate - Machine Learning Engineer
  • Licenses & Certifications

    • Attention Mechanism

      Jun 2023
    • Create Image Captioning Models

      Jun 2023
    • Encoder-Decoder Architecture

      Jun 2023
    • Generative AI Fundamentals

      Jun 2023
    • Introduction to Generative AI

      Jun 2023
    • Introduction to Image Generation

      Jun 2023
    • Introduction to Large Language Models

      Jun 2023
    • Introduction to Responsible AI

      Jun 2023
    • Transformer Models and BERT Model

      Jun 2023
    • AI and Deep Learning Course

      Scientific Computing Solutions
      Jun 2022
    • PyTorch for Deep Learning and Computer Vision

      Udemy
      Jan 2024
    • Advanced Python

      LinkedIn
      Jul 2023
    • Fundamental AI concepts

      Microsoft
      Dec 2023
    • Nvidia workshop

      NVIDIA
      Jun 2018
    • Summer Internship on Artificial Intelligence and Deep Learning

      Bennett University
      Jun 2018
    • EY Artificial intelligence - Bronze

      EY
      Jul 2020
    • EY Analytics - Data visualization - Bronze

      EY
      Jul 2020