Anil
Timilsena

Industry-aligned VTU-partnered internship program [USN: 1CD22IS016] through Cambridge Institute of Technology, building modern Android applications with Kotlin, Jetpack Compose, and integrating Generative AI capabilities.

• Android application development using Kotlin and Jetpack Compose with reactive UI architectures and best practices.
• Hands-on implementation of Generative AI capabilities in mobile apps using Google AI Studio, Google Cloud Labs, and Android Studio.
• End-to-end development cycle: UI/UX prototyping, Firebase integration, iterative debugging, and standard Android release workflows.

Building AI-powered applications, full-stack platforms, and IoT solutions through hands-on projects including SafeSip and NepalCasts.

• Built SafeSip, an IoT-based water-quality monitoring system using pH, TDS, turbidity, and temperature sensors with machine-learning analysis.
• Developed NepalCasts, a full-stack talent platform with real-time communication, profile discovery, and media-related workflows.
• Designed and developed REST APIs and backend services using Node.js, Express, MongoDB, and Python.

Specialized in Artificial Intelligence, Software Engineering, Full-Stack Systems, and Data Structures & Algorithms. Graduating Candidate [USN: 1CD22IS016 · CGPA: 7.5/10].

• Deep focus on Data Structures, Algorithms, AI/ML models, and Database Architecture.
• Engineered multiple end-to-end full-stack web platforms and IoT hardware/software integrated systems.

Completed higher secondary education in physical science and mathematics [GPA: 3.18/4.0]. Built foundational programming & logic skills.

• Formed a strong foundation in C programming, physics, and advanced mathematics.