Expert iOS Developer Β· AI-Driven Workflows

Abdullah
Genç

Expert iOS Developer at Migros One, building Moneyfinans, Migros's digital finance experience. Specializing in robust architectures, AI-driven workflows, and intelligent on-device experiences with CoreML, SwiftUI, and modern Apple frameworks.

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// 01 - about

Who I am

I'm an iOS developer based in Istanbul with a Computer Engineering background from YΔ±ldΔ±z Technical University. I specialize in crafting scalable, production-grade iOS applications with clean architecture and high performance.

Since July 2026, I've been working as an Expert iOS Developer at Migros One on Moneyfinans, Migros's digital finance experience, and its integration into the Migros app. My work focuses on customer-facing financial flows, a modular SDK-based architecture, and product analytics.

Before that, my work at Pazarama spanned full product ownership, from solo app delivery to redesigning core payment systems. I also pushed the frontier by integrating AI-driven workflows with custom agents and an MCP ecosystem that includes Xcode, Figma, SonarQube, and Crashlytics.

Outside of work, I research real-world deep learning applications, including medical imaging and on-device CoreML inference.

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Location
Istanbul, Turkey
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// 02 - experience

Where I've worked

Expert iOS Developer
Migros One
Jul 2026 - Present
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  • Fintech Features: Developing customer-facing financial flows in Moneyfinans with Swift, SwiftUI, and UIKit, focused on clear and consistent transaction experiences.
  • App Integration: Contributing to the integration of Moneyfinans into the Migros app, so financial services fit naturally into the shopping experience.
  • SDK Development: Contributing to a modular, SDK-based mobile architecture, including integration and release work.
  • Product Analytics: Implementing analytics that help the product team understand user journeys.
  • Quality: Strengthening reliability through careful error handling and unit testing.
iOS Developer
Pazarama
Dec 2022 - Jul 2026
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  • Scalable Architecture: Developed maintainable code structures using Swift, MVVM, Repository Design Pattern, and Coordinator Pattern.
  • Payment Systems: Led the comprehensive redesign of payment screens and integrated diverse payment methods, modernizing the UI/UX to enhance transaction flows.
  • AI-Driven Development: Engineered custom AI agents tailored to coding standards and evolved them into a modular "Skills" architecture. Built specialized helpers for TDD, Code Review, and on-demand Widget & Live Activities generation.
  • MCP Ecosystem: Expanded MCP connections by integrating SonarQube alongside Xcode, Figma, and Crashlytics for a comprehensive development pipeline.
  • Feature Delivery: Shipped high-impact features including Pazarama Plus, SΓΌper Γ‡ekiliş, and KazΔ± Kazan.
  • Solo Product Ownership: Managed end-to-end development of the Pazarama İş Ortağım app from scratch, a robust mobile solution for business partners.
  • Hybrid Integration: Implemented seamless two-way communication between native iOS and WKWebView components.
  • App Maintenance: Maintained Pazarama, Pazarama İş Ortağım, and Maximum Mobile applications.
iOS Developer Intern
Magis Technology
Apr 2021 - Jun 2021
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  • Contributed to the development of an e-sports gaming platform application using Swift, MVVM, and REST APIs.
// 03 - skills

Technical toolkit

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Core Technologies
Swift SwiftUI UIKit CoreML REST API WidgetKit Live Activities Dynamic Island
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Architecture & Methods
MVVM Repository Pattern Coordinator Pattern TDD Unit Testing Modular SDKs Product Analytics Agile & Scrum
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Tools & SDKs
Xcode Git SPM SonarQube Crashlytics Figma Adjust Dengage
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AI & Innovation
Custom AI Agents Model Context Protocol Skills Architecture CoreML Deep Learning
// 04 - projects

Personal work

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Ongoing
Intelligent iOS Applications & CoreML
Engineered privacy-focused, real-time AI capabilities for native iOS apps by training custom ML models and integrating them via CoreML, bringing intelligence on-device without relying on cloud inference.
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Feb - Jul 2022
SARS-CoV-2 Detection via Chest X-Ray
Deep learning-based classification system for detecting SARS-CoV-2 infection from chest X-ray images, applying CNNs and transfer learning for high-accuracy medical image analysis.
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Feb - Jul 2021
Histopathological Image Classification
Classification of different tissue types in histopathological images using deep learning methods, contributing to computational pathology research through model training and evaluation.
// 05 - education

Background

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Computer Engineering
YΔ±ldΔ±z Technical University
Sep 2015 - Jun 2022
Let's build something great.

Open to exciting iOS projects, AI-driven mobile work, or just a good conversation about Swift and on-device ML.

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