Machine Learning & Data Science Training
Gained hands-on experience in supervised and unsupervised learning, data preprocessing, model training, and performance evaluation.
Professional Summary
Hire Rahul
Developer Story
Postgraduate Master of Computer Applications (MCA) graduate with a strong foundation in Android Development, Computer Science, Machine Learning, and Database Management. Experienced in developing AI-powered applications, Android apps, and backend-integrated solutions using Kotlin, Java, Firebase, SQL, SQLite, MySQL, PostgreSQL, MongoDB, and REST APIs.
Published 6+ Android applications on Google Play Store, demonstrating hands-on experience in designing, developing, testing, and deploying production-ready mobile applications. Passionate about building scalable, user-centric software with strong problem-solving, analytical thinking, and continuous learning abilities.
Seeking an opportunity as an Android Developer or Software Engineer to contribute to innovative projects while continuously enhancing technical expertise and delivering high-quality software solutions.
Core Skills
01
Programming Languages
Kotlin, Java, Python, JavaScript (ES6), TypeScript
Android Development
Android SDK, Kotlin, Jetpack Compose, XML, MVVM, Room, Firebase, Retrofit, Material Design
Databases
MySQL, PostgreSQL, SQLite, MongoDB, Firebase Firestore
Machine Learning
TensorFlow, Scikit-learn, TPOT, SVM, Data Preprocessing, Data Modelling
Tools & Platforms
Android Studio, VS Code, Git, GitHub, Postman, Firebase, Play Console, Power BI, Tableau, Figma
Certifications & Training
02
Android Development using Kotlin — Ainwik Infotech
Completed hands-on training in Kotlin, Android app development, Firebase integration, and modern UI design.
Prompt Engineering — Sharda University
Successfully completed a 30-hour certification in AI Prompt Engineering, focusing on Generative AI tools and prompt optimization.
Power BI — Sharda University
Completed hands-on training in Power BI including dashboard development, data visualization, and business intelligence reporting.
Projects
03
Developed an AI system for CT-based cancer detection with optimized ML pipeline and GUI reporting tool.
AI-powered photo enhancement app with real-time client-side processing for face enhancement and image quality improvement.
Arcade-style stacking game with smooth animations, score tracking, and responsive controls for engaging gameplay.
Document scanning and editing app with auto edge detection, PDF generation, and image enhancement features.
AI-powered interview preparation application with mock interviews, AI-generated questions, resume analysis, and personalized feedback.
Food analysis application using barcode and image recognition for nutrition insights and health recommendations.
Image processing application for resizing, compressing, cropping, and converting images while maintaining high quality.
Achievements
04
Published 6+ Android applications
Built AI-powered Android solutions
Delivered production-ready apps
Education
05