Hi, I’m Aditya, a recent graduate from RGIPT. I love building products from the ground up and adding productive features to existing ones.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
android-emulator-platform
June 1, 2026 – Present
Browser-based Android emulator streaming platform - React + Node.js + Docker + scrcpy + noVNC, with TLS, slot pooling & APK install.
View ProjectUptime
April 12, 2026 – Present
A remote monitoring application using Node.js, MongoDB, and Twitter Bootstrap.
View ProjectPasswordlessAuth
January 27, 2026 – Present
Passwordless OTP authentication using Jetpack Compose.
View ProjectLRUcache
January 17, 2026 – Present
This project demonstrates **Least Recently Used (LRU) caching** in Android using Kotlin. Data is fetched from an API on first use and stored in memory. When requested again, the cached data is returned instead of making a network call, improving performance and reducing latency.
View ProjectDeepfake-Detector
December 29, 2025 – Present
This advanced deepfake detection system combines state-of-the-art deep learning models to identify AI-generated or manipulated media across multiple formats.
View ProjectKripto
November 28, 2025 – November 28, 2025
Kripto is a modern Android application for tracking real-time cryptocurrency prices, market analytics, and exchange credibility. Built using Kotlin, MVVM, Hilt, Coroutines, Retrofit, and Room, it offers interactive charts, global market data, watchlist personalization, dark mode, and biometric etc
View ProjectOpenGL_Final
November 8, 2025 – November 30, 2025
An intuitive Android app that lets you visualize construction site rooms in 3D, annotate walls with work areas, and place robots - all powered by OpenGL ES and modern Android architecture.
View ProjectPepto
September 21, 2025 – Present
Pepto is a sample food-delivery mobile application that demonstrates how to build a polished, production-style UI for both Android and iOS from one codebase using Kotlin Multiplatform (KMP) and Compose Multiplatform (CMP).
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for mobile development, particularly Android, through a diverse set of personal projects. The projects show initiative and a drive for learning new technologies. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.