I’m a software engineer specializing in mobile and data science with 3+ years of experience building high-performance apps for Android and iOS. I work with Flutter, Kotlin, Java, and Swift to deliver cross-platform solutions with robust API integration and solid state management. I’ve shipped apps with 10,000+ downloads and enjoy turning complex problems into intuitive user experiences.
Currently, I’m pursuing a Master’s in Data Science while contributing to NFC technology and mobile development research projects. I collaborate with interdisciplinary teams to define requirements, design architectures, and explore data-driven approaches that improve performance and user value.
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Goal: Develop a specialized cross-platform Flutter application to interface with and interpret data from NFC-enabled micromechanical strain sensors.
Solution: Engineered core NFC reading functionality to communicate directly with industrial NFC chips, enabling the extraction of complex, specialized sensor data.
Data Engineering: Implemented custom protocols for data structuring and interpretation, transforming raw sensor signals into meaningful metrics for industrial monitoring.
Technology Stack: Flutter (Dart), NFC Protocols, Industrial Sensor Integration.
Key Achievement: Successfully bridged the gap between physical micromechanical hardware and mobile software, gaining deep hands-on experience with industrial sensor data protocols and specialized data structuring.
Goal: Led the end-to-end development and maintenance of a cross-platform e-Commerce application.
Solution: Successfully deployed a multi-server, scalable architecture designed to handle significant user growth and peak transaction loads.
Collaboration: Worked closely with backend teams to ensure efficient data communication and seamless integration within a complex system.
Goal: Engineered a major mobile application for parking management, supporting over 10,000+ active downloads.
Solution: Developed the app using Native Android (Java) and Flutter, integrating robust REST APIs and SQL databases to handle high transaction volumes and real-time field reporting.
Impact: Established high standards for maintainability through peer programming and architectural improvements in a structured agile environment.
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