However, these addons are classified differently, mainly based on their source and what they offer. Kodi addons are simply plugins that extend the functionality of Kodi. But before we start, here’s a primer on Kodi addons. We always try our best to keep updating these addons periodically, and in case you come across one that is not working, you can let us know in the comment section. It’s for these reasons that you need to keep yourself updated, and we decided to create a list of the Best Working Kodi Addons 2021 for you. Some are usually forced to shut down by authorities and copyright bodies, while others are just abandoned by their developers. The world of Kodi addons is a tricky one, with addons getting taken down and others coming up every day. This guide is a frequently updated list of the best working Kodi addons in 2021. However, thousands of addons are out there, and it isn’t easy to choose the right ones. Without them, Kodi is simply a media player & organizer. Worked with technologies such as PostgreSQL, Docker, Maven, APIs and Github.Addons are the magic behind Kodi as a streaming application. The team lead role contained responsibilities such as leading daily scrum meetings, helping to improve workflow by providing a clearer vision of the project and removing impediments by discussing areas of improvement. This included daily scrum meetings and the opportunity to be a team lead for one two-week sprint.
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Software Developer, Jarvis (2021-present): Worked in a team of software developers in an Agile/Scrum work environment. This information was then used to score the document relevancy for any user query to find the most relevant documents. Preprocessed queries to filter stop words, stem words and non-alphanumeric values and stored document frequency, term frequency, position and document ID for every term.
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Team coordination efforts involved GitHub, daily meetings and charts made for project scheduling.ĬACM Document Retrieval Application: Created a Java program that finds the most relevant document in a collection of over 3000 documents ( the CACM collection). The features of the app included a scanner to read barcodes of grocery items, a secure authentication system recording usernames and passwords and a vast grocery item Firebase database for users to add, remove and edit items efficiently.
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Refridge Grocery List Android App: Worked in a team to create an Android app using Android Studio, Java and Google Firebase. The application is contained in a Docker container. It implements Maven, Stream APIs, Regex and Lambda and is tested using the main method and JUnit testing. Grep App: Implemented a Java Grep App is made to replicate the Linux grep command, searching files in a directory and matching strings to within the files.The project uses Java, JDBC, Maven, SQL, Docker and PostgreSQL. The application allows for the client to perform predefined operations to the database, such as CRUD (create, read, update, delete). JDBC App: Implemented a Java Database Connectivity (JDBC) application, which is used to create a connection to a PostgreSQL database.The application uses Java, JUnit, Spring, Docker, HTTP and JSON. This app is designed following the well-known MVC architecture, consisting of a model, controller layer, service layer and data access (DAO) layer. Twitter App: Developed an application that allows a user to post, read and delete Tweets via the official Twitter REST APIs.Variables collected include the host's CPU number, total memory, memory free, disk I/O, CPU MHz and more, which are recorded to a PostgresSQL Docker RDBMS database every minute using a bash script running through crontab. This script is used by the Jarvis Linux Cluster Administration (LCA) team to manage a Linux cluster running on CentOS 7.
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Proficient: Java, Linux/Bash, SQL, PostgreSQL/RDBMS, Agile/Scrum, Git/GitFlowĬompetent: Docker, Python, Maven, JUnit/Mockito, Spring/SpringBootįamiliar: Networking, HTML/CSS, C/C++, Hadoop, MySQL, HTTP/JSON Jarvis ProjectsĬluster Monitor : Developed a cluster monitoring system that records the hardware and resource usage of each host in a system. I am a strong problem-solver, fast-learner and team player who is excited to face new challenges and contribute to the success of a team as a Data Engineer. At Jarvis, I am developing my skill sets using agile software development practices and working hands-on with applications of new technologies (Docker, REST APIs, Springboot, etc.).
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Currently, I am a software developer at Jarvis Consulting Group. During my education, I had the opportunity to study software engineering, database systems, and data mining, solidifying my programming fundamentals and gaining a strong interest in software development. I am a recent graduate from Ryerson University with a Bachelor of Science (Honours) in Computer Science.