Rashid Lafraie
Back End Developer at piazza blu² GmbH- Claim this Profile
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German Native or bilingual proficiency
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English Professional working proficiency
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Persian Native or bilingual proficiency
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French Elementary proficiency
Topline Score
Bio
Credentials
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commercetools Associate Functional Architect
commercetoolsApr, 2023- Nov, 2024
Experience
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piazza blu² GmbH
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Germany
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IT Services and IT Consulting
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1 - 100 Employee
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Back End Developer
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May 2021 - Present
• Communicate closely with customers to identify their needs and business requirements, transforming them into technical requirements and specifications • Develop and customize headless shop backend logic using Python and Java as well as the Java-EE-based framework HCL WebSphereCommerce and the cloud-based commerce platform CommerceTools • Design, implement, and maintain APIs to integrate headless shop backends with various device-specific frontends using Java 17 and Quarkus, facilitating seamless communication between the presentation layer and the data and logic layer • Adapt and maintain the codebase to evolutional changes in the business domain • Focus on details while considering the project timeline and technical/ economic limitations • Work collaboratively within a team of developers and scrum masters Show less
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1&1 Telecommunication SE
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Germany
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Telecommunications
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700 & Above Employee
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Working Student - Business Intelligence / Application Development
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Apr 2014 - Dec 2020
• Designed and realized relational data schemes, developed T-SQL procedures that enrich the company’s data warehouse, and implemented key performance indicators for the monitoring of the company’s data warehouse • Contributed to the development and maintenance of an application leveraged by the company’s customer service and sales agents to help customers resolve telecommunication disruptions or problems with technical devices, plan engineer schedules, and sell products to potential customers via phone • Implemented, tested, and maintained interfaces that integrate various data sources of the company with the application to enable agents to access data about customers, devices, company sections, and current campaigns Show less
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University of Koblenz and Landau
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Germany
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Higher Education
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400 - 500 Employee
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Master's Thesis
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Jun 2020 - Nov 2020
• Explored Knowledge Graph Embedding, a subdomain of machine learning and artificial intelligence that has gained importance in recent years • Developed the Knowledge Graph Embedding techniques of PuTransH and PuTransD • Utilized C++ and Python with the PyTorch framework to implement and experiment with various embedding techniques • Developed and implemented a comprehensive evaluation framework that assesses the performance of inductive Knowledge Graph Embedding techniques • Conducted experiments to assess the performance of my implemented techniques and other prominent relatives in the field Show less
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Education
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Universität Koblenz-Landau
Master of Science - MS, Business Informatics -
Universität Koblenz-Landau
Bachelor of Science, Business Informatics