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  • Capgemini
  • Canada 🇨🇦
  • 10:38 (UTC -07:00)

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Introduction

Backend Developer with expertise in Machine Learning (ML) infrastructure, specializing in building scalable and efficient solutions across various domains. Extensive experience in enhancing ML infrastructure for search algorithms, fraud detection, and recommendation systems, collaborating with data scientists to deploy models into production seamlessly. Proficient in designing automated data pipelines with Apache Airflow and AWS, developing and optimizing RESTful APIs, and implementing CI/CD pipelines to streamline deployments. Skilled in managing cloud infrastructure on AWS, leveraging microservices architecture for secure, scalable, and cost-effective solutions.

Skills

Links

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  1. codingame codingame Public

    Resource for developers looking to learn from examples of coding challenges on CodinGame.

    Python 49 18

  2. cmu-db-systems-fall-2020 cmu-db-systems-fall-2020 Public

    Database Systems - CMU - Fall 2020

    3

  3. github-battle github-battle Public

    GitHub Battle Clone with Vue.js and GraphQL

    Vue 1

  4. cinesite-test cinesite-test Public

    Cinesite Infrastructure Team Test with React.js, Redux & Docker

    JavaScript 1

  5. VS Code Settings VS Code Settings
    1
    {
    2
        "[python]": {
    3
            "editor.tabSize": 4,
    4
            "editor.insertSpaces": true
    5
        },