Systems Analyst and Developer with over 1.5 years of professional experience in front-end and back-end development, proficient in a diverse array of programming languages and frameworks. Currently focused on advancing leadership capabilities and refining expertise in system architecture.

Full Stack Web Developer specializing in Node.js, Vue.js, and the Quasar Framework. Proficient in Linux system management, particularly with Slackware, adept at containerization using Docker, and experienced with version control through Git.

Fullstack developer with two years of professional experience in programming, specializing in PHP and Laravel. Initial exposure to programming began in 2007 as a hobby with a concentration on game development. Currently expanding expertise through studies in Vue.

A Full Stack developer with extensive expertise in various technologies, including C#, JavaScript, Python, React, Node.js, and .NET, brings over a decade of experience in software development. One notable project in telecom management involved designing systems that achieved a 30% cost reduction, showcasing strong problem-solving abilities and a capacity to deliver significant business value through technological solutions.

An academic background in Information Technology has provided a solid foundation of both theoretical and practical knowledge. Continuously seeking new challenges and growth opportunities, there is a keen interest in engaging with stimulating projects and dynamic teams, leveraging a diverse set of technical skills and a deep-seated passion for software development.

Front-end Developer specializing in VueJs and ReactJS with two years of experience.

A .NET C# Developer with eight years of experience in web development, specializing in ASP.NET MVC, jQuery, and SQL Server database management.

Software Engineer possessing extensive experience in software development, data analysis, and solution development across diverse domains. Demonstrates strong expertise in Python and proficiency with a variety of AWS technologies, such as EC2, ECS, DynamoDB, Athena, S3, LoadBalancer, and Lambda. Proficient in implementing development best practices, including design patterns, Test-Driven Development (TDD), Unified Modeling Language (UML) documentation, and Agile methodologies such as Scrum.

Fullstack Game Programmer with six years of experience in Unity3D (C#), specializing in multiplayer games. Prioritizes software quality, adherence to versioning standards, and best development practices to ensure product maintainability and resilience. Demonstrates a broad range of web knowledge, alongside skills in 2D/3D design, animation, and video/image editing, reflecting a strong capacity for learning across diverse domains. Portfolio available at [jovdev.com/joveem](https://jovdev.com/joveem).

CylancePROTECT is an AI-driven endpoint security solution that uses machine learning to predict and prevent malware and cyber threats in real-time, without relying on traditional signature-based methods. It provides advanced threat protection, device control, script management, and application control to safeguard endpoints from a wide range of attacks.

A CylancePROTECT expert must have skills in endpoint security management, proficiency in using and configuring the Cylance console, understanding of AI and machine learning principles related to cybersecurity, experience with threat detection and incident response, and knowledge of scripting languages for automation and policy management.

How to hire a Cylanceprotect expert

CylancePROTECT was developed by Cylance Inc., a company founded in 2012. The solution was created to leverage artificial intelligence and machine learning to offer advanced endpoint security, aiming to predict and prevent cyber threats more effectively than traditional signature-based methods. It gained recognition for its innovative approach in the cybersecurity industry, eventually leading to the acquisition of Cylance Inc. by BlackBerry Limited in 2019.

About Cylanceprotect

CylancePROTECT's strengths include its AI-driven threat detection, low system impact, and ability to function without constant signature updates. Weaknesses may involve limited incident response capabilities and reliance on machine learning models that require periodic training. Competitors include CrowdStrike Falcon, Symantec Endpoint Protection, and McAfee Endpoint Security.

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