Full-Stack Mobile Developer building robust, user-centric applications. Specializing in Native Android (Kotlin) with a growing backend expertise in Java & Spring Boot. MCA in AI & ML at Chandigarh University — BCA CGPA 8.82. Currently mastering System Design and preparing for GSoC 2026.
Satya Brand · Bangalore, Karnataka
Dec 29, 2025 – Apr 01, 2026
Worked full-time alongside the core product team on real-world client deliverables. Contributed to the IJS Mobile App (Android) — an educational platform for IIT-JEE aspirants focused on performance and clean UI.
A behavioral credit scoring system built end-to-end across mobile, backend, and machine learning. Users are analyzed on behavioral patterns and receive a dynamic credit score — demonstrating full-stack engineering from Android UI to Spring Boot APIs to a Python ML model.
Native Kotlin frontend — user input, score display, real-time feedback UI
REST API layer for scoring logic, user data, and cross-layer communication
Python-based scoring model trained to predict and classify behavioral credit scores
Personal finance management Android app — track expenses, set budgets, and build financial discipline with an intuitive UI.
Solves critical communication gaps by bypassing silent/DND modes for emergency alerts — ensuring urgent messages always get through.
Production Android app for IIT-JEE School — an educational platform for future IITians, built during the Satya Brand internship with a focus on performance and clean UI.
Spring Boot microservice built to master full layered backend architecture — a solid foundation for enterprise-grade APIs.
The Spring Boot REST API powering BehavioScore — handles behavioral data ingestion, scoring endpoints, and bridges the Android frontend with the Python ML engine.
Certification
Codedamn · Verified Certificate
Open to internship and full-time opportunities in mobile or backend engineering. Also happy to collaborate on interesting open-source projects.
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