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Available for Engineering Roles & Projects

AFFAN

SHAHZADA

Mobile Software Engineer
Flutter • BLoC Architecture • Mobile AI

Portrait of Affan Shahzada
01 // Profile

Executive
Summary

Informatics Engineering undergraduate at Dian Nuswantoro University (UDINUS, Batch 2024) specializing in native-performance cross-platform mobile engineering. Focused on architecting scalable applications using Flutter, BLoC state management, and intelligent cloud & on-device AI integrations. Dedicated to crafting fluid user interfaces backed by production-grade, maintainable code.

school
B.Sc. in Informatics Engineering Dian Nuswantoro University (UDINUS) • 2024 – Present
history_edu
Vocational High School (SMK) Software Engineering (Rekayasa Perangkat Lunak)
20+ Open Source Repos
BLoC Clean Architecture
Cloud/AI Supabase & AI Integration
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02 // Skills

Core
Competencies

Engineered for scalability, architectural precision, and resilient user experiences.

01

Mobile Engineering

Flutter & Dart / BLoC / Clean Arch phone_iphone
02

Cloud & Realtime Sync

Supabase / REST / Offline Hive cloud_sync
03

Applied AI Integration

Intelligent AI / Computer Vision / Local LLMs smart_toy
04

UI Craftsmanship & Security

Pixel Perfect / Motion / OWASP MASVS security
Technologies & Tools Ecosystem
Flutter Dart Flutter BLoC Supabase Hive NoSQL (AES-256) AI Integration REST APIs TypeScript Python Android Studio Git & GitHub Figma
03 // Projects

Selected Works

Production-ready mobile architectures and innovative software solutions designed for real-world impact.

Mobile App Ecosystem 2026

DCC
Mobile

Dinus Career Center — Official University Career App

Flutter BLoC Architecture Supabase Realtime Background Sync

Official career portal mobile application for Dian Nuswantoro University (UDINUS). Empowers students and alumni with real-time job matching, application tracking, career development events, and background push notifications—architected with feature-first BLoC pattern and Supabase.

Explore Repository north_east
DCC Mobile app screenshot
Agritech & AI Suite 2026

Agri
Nova

AI-Powered Agronomy & Crop Health Suite

Flutter AI Integration Computer Vision Hive (AES-256)

An intelligent, offline-first agronomy platform engineered for local farmers. Integrates computer vision plant disease diagnostics, an intelligent farming assistant powered by adaptive AI integration, real-time agro-climate analytics, and AES-256 encrypted local caching compliant with OWASP MASVS security guidelines.

Explore Repository north_east
AgriNova app screenshot
04 // Contact

Let's build
something
meaningful

Based in Semarang, Indonesia. Open to mobile engineering opportunities, freelance collaborations, and impactful software projects. Let's create something extraordinary together.

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