Sabah Sayed K

Flutter Developer

Passionate and skilled Flutter Developer with one year of experience in building high-quality mobile applications. Adept at creating seamless and visually appealing user interfaces, optimizing performance, and implementing responsive designs. Possess additional expertise in data science, enabling a data-driven approach to app development, and a solid understanding of networking principles to ensure robust and secure application connectivity. Committed to continuous learning and staying updated with the latest industry trends to deliver innovative and efficient solutions.

Skills

Software Development

Team Management

Communication

Network Administration

Problem Solving

Backend Firebase Proficiencies

Administrative Assistance

Self Learner

Data Science

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Work Experience

First Logic Meta Lab

SoftwareDeveloper

June 2023 - June 2024

Developed cross-platform mobile applications using Flutter for a smooth and performant user experience. Implemented backend functionalities and data persistence using Firebase for features like authentication, databases, and cloud storage. Utilized Riverpod for efficient state management, ensuring data consistency and reactivity throughout the application.

Education

APJ Abdul Kalam Technological University, MEA Engineering College

2019 - 2023

My Projects

Check out my latest work

Developed various mobile applications using Flutter, focusing on user experience and functionality, including projects for education and personal development.

HypnoHand

A mobile application designed to help users learn mentalism through guided recorded sessions. Designed and developed the user interface and backend. Managed app deployment and updates on the Google Play Store.

Flutter

Eagle Parent

Developed and launched a mobile application aimed at helping parents monitor their children's academic progress and activities. Designed and developed the user interface and backend.

Flutter

Thara Cart Admin Desktop Application

Designed and developed the desktop application interface and backend. Implemented features for creating and managing brand categories and top deals.

Prediction of Student Academic Performance using Data Science & Machine Learning

Led the end-to-end development of the project, from data collection to model deployment.

Data Science

Machine Learning

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