Skilled in Kotlin/Java for backend development using Spring Boot.
Seeking to leverage my 4+ years of software engineering experience and passion for continuous learning to deliver innovative, high-performance solutions. Experienced in back-end development, machine learning, and mobile app development using technologies such as Flutter, Dart, Python, Kotlin, Rust, TypeScript, Go, and Swift.
Skilled in Kotlin/Java for backend development using Spring Boot.
Proficient in TypeScript for backend development using Nestjs.
Proficient in Go for backend development using Gin.
Skilled in Firebase for backend development.
Proficient in Python for backend development using Django/Flask.
Experienced with TensorFlow for machine learning.
Experienced with PyTorch for machine learning.
Skilled in OpenCV for computer vision.
Proficient in Flutter for cross-platform app development.
Proficient in Dart, the programming language used for Flutter development.
Proficient in Swift for iOS app development.
Skilled in Rust and C++ for Dart ffi.
A powerful camera scanner app for Android, developed using Flutter and Dart. This app replicates the functionality of popular scanning apps like CamScanner.
TripTailor is a mobile application developed using Flutter and Dart that leverages artificial intelligence to provide personalized travel recommendations and planning assistance. This app aims to revolutionize the way users plan and book their travel experiences.
A mobile application developed using Flutter and Dart that leverages artificial intelligence and machine learning to generate and edit videos. This app provides users with a powerful and intuitive platform for creating high-quality video content.
A comprehensive mobile application developed using Flutter and Dart to connect alumni of a university. The app features detailed alumni profiles, an AI-powered information search system, and a chat functionality for seamless networking and collaboration.
This app provides advanced features for driving behavior analysis, accident detection, and real-time video streaming.
A comprehensive mobile application developed using Flutter and Dart that serves as a Learning Management System (LMS). This app provides a feature-rich platform for users to enroll in various courses, access learning materials, and track their progress.
A mobile application developed using Flutter and Dart to streamline the distribution of relief goods to people in need. This system leverages QR code technology to ensure transparency and prevent misappropriation of supplies.
A machine learning-based project that predicts the steering angle of a self-driving car using computer vision and deep learning techniques. Developed using Python, TensorFlow, and deployed on a Linux platform.
Completed Master's degree in Computer Science and Engineering.
Completed Bachelor's degree in Computer Science and Engineering.
Developed and maintained software applications using Kotlin, TypeScript, Go, and Python. Collaborated with cross-functional teams to design, develop, and implement new features.
Developed a mobile application using Flutter and Dart that interfaces with an AI dashcam for cars. Implemented AI algorithms to detect driver activity and analyze camera footage.
Developed a Flutter app for a restaurant management system with AI features for object recognition and menu optimization. Integrated AI algorithms for enhanced functionality.
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