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sayemomer/README.md

Hello, I'm Omer Sayem 👋

As an Applied Computer Science graduate student at Concordia University, I specialize in Data, Machine Learning, and Infrastructure. With 2+ years of experience developing data products, I am passionate about building intelligent data-driven solutions. My work includes leveraging AWS to process large-scale data, develop machine learning platforms, and implement robust search engines with Elasticsearch.

Currently, I'm diving deep into Machine Learning and aspire to create impactful data products.

My experience ranges from working as a Machine Learning Engineer at Markopolo.ai, where I processed large volumes of data and developed ML platforms, to FullStack Software Engineering roles where I built efficient search services and log monitoring systems.

I am skilled in Kubernetes, Computational Mathematics, and Distributed Systems. Proficient in Python, Java, and JavaScript, and technologies including AWS, ElasticStack, and Docker.

Reach out to me on LinkedIn for collaborations or discussions.

Happy exploring!

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  1. EduMood EduMood Public

    CNN for emotion detection which works on still images of students in a classroom setting (virtual or physical)

    Jupyter Notebook

  2. Ticketsync Ticketsync Public

    Sequenced Multicast Communication System for Distributed Server Replication.

    Java 1

  3. ElementoryERP ElementoryERP Public

    A system of integrated applications to manage the business and automate many back office functions related to technology, services and human resources.

    C# 1 5

  4. telecast-streams telecast-streams Public

    Notification service designed for scheduling live game telecasts. It dynamically creates DynamoDB tables to track program start and end times, sending notifications through an SNS service when thes…

    Python

  5. AL-GO- AL-GO- Public

    My efforts on algorithm and data-structures implemented using C++, Java ,Python, Javascript.

    Java

  6. Proxy_container Proxy_container Public

    REST API for processing time difference calculations between two timestamps, accounting for time zone variations, designed for Docker, enabling scalable deployment across multiple instances

    Python 1