About Abdul Rehman
I’m Abdul Rehman Khan, a Fullstack Developer with a Master’s in Computer Science from TU Delft and hands-on experience building fintech and mobility platforms in the Netherlands and India. My expertise lies in designing scalable backend systems with Java and Spring Boot, crafting seamless user experiences with ReactJS, and integrating complex payment and data services into reliable, production-grade solutions. I thrive in multicultural teams, love solving hard technical problems, and aim to create software that blends performance, security, and real-world impact.
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Ease2payFull stack engineerTECHNovember 2023 - Today (2 years and 7 months)Rotterdam, NetherlandsAs a Medior Fullstack Developer at Ease2pay, I drive the development of scalable fintech solutions that connect mobility, payments, and customer experience. My work spans backend and frontend engineering, leveraging technologies like Java, Spring, Angular, and AWS to deliver robust platforms. Beyond coding, I collaborate closely with cross-functional teams, mentor junior developers, and contribute to shaping products that simplify everyday transactions across the Netherlands.
- FellaFeedsFullstack EngineerApril 2018 - July 2025 (7 years and 3 months)At FellaFeeds, I worked as a Software Engineer focused on building and maintaining the company’s feedback and engagement platform. My responsibilities included backend development with Django, frontend work with JavaScript/jQuery, cloud deployment on AWS, and coordinating closely with mobile and frontend teams. I also contributed to project management tasks and trained interns, helping streamline development workflows.
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Education
- Masters in Computer Science20192022At TU Delft, my Master’s thesis focused on applying machine learning and transformer models to analyze T-cell receptor specificity, contributing to advancements in computational biology and AI-driven healthcare. Alongside my coursework, I explored areas such as pattern recognition, data analysis, and scalable software systems, strengthening both my research and engineering skills.