Headline
Java , Python , SQL, Cloud Computing , Node.js , Android Development , Kotlin , Jetpack compose , Android Studio , Google Cloud Labs , Google Ai Studio , UI/UX Design , HTML , CSS
About
🚀 About I am a Software & AI Engineer who specializes in bridging intelligent machine learning workflows with production-grade full-stack applications. From optimizing relational database architectures to implementing real-time geospatial search and native GenAI feature flows, I build scalable systems from the ground up. With hands-on experience developing native GenAI platforms using Google AI Studio and Google Cloud Labs, I thrive in fast-paced environments where bleeding-edge artificial intelligence meets rigid system architecture. 🛠️ Technical Toolbelt 1. Programming & Systems: Python, Node.js, Java, Kotlin, SQL (MySQL, Room DB) 2. AI & Cloud Ecosystem: Generative AI Architecture, Google AI Studio, Google Cloud Labs, AWS, Firestore 3. App Engineering & Architecture: Android SDK, Jetpack Compose, MVVM Architecture, Component Design 4. Tools & Platforms: Git/GitHub, Linux, UNIX, RESTful APIs, Firebase Ecosystem 📈 Core Work & Selected Projects 🔹 MindMatrix — GenAI & Android Engineering Intern 1. The Mission: Explored and integrated native Generative AI capabilities into client-side Android applications using Google AI Studio and Google Cloud Labs. 2. Execution: Designed, prototyped, and shipped 2 standalone individual applications built entirely with Kotlin, Jetpack Compose, and Firebase integrations. 3. Outcome: Accelerated fluid, iterative feature enhancements and modern UI/UX workflows across standard Android release lifecycles 🔹 Jenu-Gumpu (Honey Producer’s Collective Platform) — Lead Developer 1. The Architecture: Formulated an enterprise-grade mobile solution using MVVM Architecture, Room DB, Jetpack Compose, and ViewModel lifecycle runtimes. 2. Scalability: Designed decoupled, clean-architecture application layers explicitly prepared for smooth backend integrations across Firebase, Django, Node.js, and Spring Boot APIs. 🔹 Vision Rail & Automation 1. Research & CV: Published peer-reviewed computer vision research detailing "Vision Rail: A Real-Time Crack Detection and Platform Intelligence System" (Published paper: https://ijcrt.org/papers/IJCRT2508566.pdf). 2. System Design: Engineered an automated Gym Management System leveraging Java, MySQL, and JavaScript to centralize multi-tenant operations and automate transaction/scheduling states. 🎓 Education & Credentials 1. B.E. in Computer Science & Engineering | HKBK College of Engineering, Bangalore (Graduating May 2026) 2. Academic Standout: Continuous Dean's List placement across all semesters | Cumulative GPA: 8.12
Work experience
Android App Development Using Gen AI . at MindMatrixEd, Feb 2026 - May 2026 · 4 mos, Bengaluru, Karnataka, India, Paste the rewritten block from the previous response detailing your work with Google AI Studio and Jetpack Compose and Android studio,kotlin,and etc
