Back-end Developer with four years of experience, specializing in Node.js. Possesses comprehensive knowledge of JavaScript, Node.js, and PostgreSQL. Recognized for conciseness, calm demeanor, and focused approach.

A professional with over 25 years of experience in system analysis and development, demonstrating a deep understanding of the necessity for technical enhancement and collaborative efforts.

Full-stack developer with expertise in React and Redux for front-end development and AWS Serverless for back-end implementation. Demonstrates a comprehensive understanding of contemporary web development technologies and methodologies.

Software Developer with over eight years of experience, demonstrating expertise in programming, Object-Oriented Programming (OOP), C#, Dot.Net MVC, .Net Core, API.Rest, and SQL Server. Proficient in JavaScript, Angular, Flutter, JQuery, React, DevOps, and Mongo DB. Committed to continuous learning and professional growth through engagement with emerging technologies. Actively pursuing remote work opportunities and open to salary negotiations.

A front-end developer with robust expertise in React, HTML, CSS, TypeScript, AngularJS, VueJS, and JavaScript.

A Node.js Developer with nearly four years of experience specializes in developing RESTful APIs, libraries, artifacts, and services using Node.js. Demonstrates expertise in creating lambda functions both with and without the serverless framework, and possesses extensive knowledge of utilizing AWS services, including Kinesis, S3, DocumentDB, and Elasticsearch Service. Proficient in setting up pipelines using Azure DevOps and conducting automated testing employing Cucumber BDD and Selenium. Additionally skilled in unit testing with Jasmine and Jest, and possesses experience in React Native and React JS development. The self-taught background facilitates rapid assimilation of new technologies.

The candidate, currently pursuing a degree in Systems Analysis and Development, demonstrates a commitment to continuous knowledge and skill development within the technology sector. Possessing four years of experience as a Full Stack Developer, they exhibit proficiency in key technologies including Node.js (Express.js and Nest.js), React.js, and PHP (Laravel). Their competencies encompass database management systems such as Postgres, MySQL, and MongoDB.

In the past year, the candidate has dedicated efforts to advancing skills in AWS, gaining experience with services such as S3, SQS, Lambda, Step Functions, Cognito, and Athena, thereby enabling the development of scalable and efficient cloud-based solutions. Additionally, they have made notable contributions to the Web3 market by creating dashboards integrated with Polygon, employing tools such as 0x, Alchemy, and Tenderly.

Driven by a passion for innovative technologies, the candidate stays abreast of industry trends and is eager to further refine skills and contribute to challenging projects in systems development and emerging technologies.

Junior Front-end Developer possessing foundational knowledge in AngularJs, MongoDB, SQLServer, JavaScript, NodeJS, Angular9, ReactJs, ReactNative, Html5, Css3, and version control using Git and GitHub. Currently seeking opportunities to further develop technical skills and contribute to the growth of an organization.

Yieldoptimiser is a tool used in digital advertising to maximize revenue by optimizing the allocation of ad inventory. It analyzes data to determine the best-performing ads and adjusts placements in real-time, ensuring the highest possible yield from available ad space.

A Yieldoptimiser expert must have skills in data analysis, proficiency with ad server platforms, and experience in programmatic advertising. They should be adept at using machine learning tools, possess strong knowledge of real-time bidding (RTB) processes, and be capable of integrating and managing ad tech solutions.

How to hire a Yieldoptimiser expert

Yieldoptimiser was developed to address the need for more efficient ad inventory management and revenue maximization in digital advertising. It was created to analyze data and adjust ad placements in real-time, ensuring optimal performance and higher yields from available ad space. The tool leveraged advancements in data analytics and machine learning to improve ad targeting and placement decisions.

About Yieldoptimiser

Strengths of Yieldoptimiser include real-time optimization, data-driven decision-making, and increased revenue potential. Weaknesses may involve complexity in setup and maintenance, as well as potential integration issues with existing systems. Competitors include Google Ad Manager, AppNexus, and Rubicon Project.

Yieldoptimiser

Top 5*

Ad Server

About Yieldoptimiser

How to hire a Yieldoptimiser expert

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