Android Developer
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prathamngundikere.github.io
October 18, 2025 – Present
prathamngundikere.github.io — GitHub repository
View ProjectLLM-Inference-on-Android
March 31, 2025 – March 31, 2025
This project demonstrates how to run Large Language Model \(LLM\) inference locally on Android devices using MediaPipe. It provides a foundation for building applications that leverage the power of LLMs without relying on cloud-based APIs, ensuring privacy and enabling offline functionality.
View ProjectWhoAreYou-Face_Recognition_Android_App
February 8, 2025 – February 9, 2025
WhoAreYou is an Android app that detects and classifies faces in real-time using CameraX, MediaPipe, and TensorFlow Lite, with a Jetpack Compose UI overlay displaying bounding boxes and labels.
View ProjectGamma_Local_LLM_Android_App
January 31, 2025 – January 31, 2025
Gamma_Local_LLM_Android_App — GitHub repository
View ProjectRoverVision
January 28, 2025 – January 30, 2025
RoverVision is an Android app designed to catalog and explore photos taken by NASA's Curiosity Rover on Mars. Users can browse images captured during each sol(Martian Day) and dive into the wonders of Mars through a user-friendly interface using Jetpack Compose.
View ProjectMealDB-Explorer
January 24, 2025 – January 28, 2025
MealDB uses mealdb api. This is developed using MVVM architecture. Dagger Hilt for Dependency Injection. Retrofit for api calls and coil for images. The packages inside here is divided by feature so it is easy to modularize this app in future. Finally, it uses Jetpack Compose toolkit for UI.
View ProjectImplementing_GeminiAPI_in_Android_App
November 27, 2024 – November 27, 2024
Using Gemini Starter Template in Android Studio I have developed similar app with extra images and latest dependencies and model.
View Projectprathamngundikere
September 4, 2024 – January 28, 2025
prathamngundikere — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong passion for Android development through numerous personal projects. The diversity of projects, ranging from LLM inference to Mars rover photo exploration, indicates a curious and self-motivated individual. However, without professional experience or team-based projects, it's difficult to fully assess cultural fit in a collaborative work environment. The candidate's experience level is 0, which might indicate a need for mentorship and integration into a team culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear, but there is no information regarding teamwork, problem-solving approaches, or communication in a professional setting.