Freelancers using Android in Tuzla
Freelancers using Android in Tuzla
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Edin Selimovic
Tuzla, Bosnia and Herzegovina
Software Architect | Mobile, Cross-Platform & GenAI
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Software Architect | Mobile, Cross-Platform & GenAI
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Built a native Android quiz app centered around Auratar-based interactions. Users progress through personality-driven or knowledge-based quiz flows with dynamic Auratar visuals, smooth animations, and a responsive UI designed for engagement and replayability. The goal was to make a calm self-reflection app that gives you a fast entry point with Quick Test and a deeper path with Full Test. Built with Jetpack Compose, MVVM, REST API integration, and custom animations throughout. Android / Kotlin · Jetpack Compose · Animations · REST API · MVVM
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Architected a mobile banking app across Android and iOS with security and compliance as the foundation, not an afterthought. Implemented OAuth 2.0/OIDC auth flows, biometric authentication, RASP protection, and encrypted local storage for sensitive financial data. Designed a modular feature architecture that let multiple teams own and ship their domains independently. Result: zero critical security incidents post-launch, clean regulatory audits, and a codebase teams could actually scale. Kotlin · Swift · OAuth 2.0/OIDC · Biometric Auth · RASP · Modular Architecture
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Led mobile architecture for a health platform scaling to 1M+ users on Android and iOS. Built a modular, compliance-first system — Clean Architecture, MVVM, encrypted PHI/PII storage, EU data residency, BLE device integration, and OTA firmware updates. Designed the BFF/orchestration layer and established patterns that let multiple teams ship features independently without stepping on each other. Shipped a HIPAA/GDPR-compliant cross-platform app with a measurably faster release cadence. Kotlin · Swift · React Native · Clean Architecture · BLE/NFC · HIPAA · GDPR
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Built a production pipeline on AWS Bedrock that ingests app store reviews at scale, classifies sentiment, clusters themes, and surfaces actionable product insights in near real-time. Before this, the team relied on a manual weekly reporting process — slow, inconsistent, and always lagging behind what users were actually saying. The pipeline replaced that entirely with automated ingestion, NLP-driven analysis, and structured output product teams could act on immediately. Result: manual weekly reporting replaced with automated, near-real-time insight delivery. AWS Bedrock · Python / FastAPI · S3 · NLP · LLM
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