iOS Developer Β· AI-Driven Workflows

Abdullah
Genç

Experienced iOS Engineer specializing in robust architectures and AI-driven workflows. Building intelligent, on-device mobile experiences with CoreML, SwiftUI, and modern Apple frameworks.

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3+
years experience
3
apps maintained
2
ML research projects
∞
lines of Swift
// 01 β€” about

Who I am

I'm an iOS developer based in Turkey 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.

My work at Pazarama has spanned full product ownership β€” from solo app delivery to redesigning core payment systems. Lately, I've been pushing 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 β€” experience

Where I've worked

iOS Developer
Pazarama
Dec 2022 β€” Present
β–Ό
  • 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 β€” a robust mobile solution for business partners.
  • Hybrid Integration: Implemented seamless two-way communication between native iOS and WKWebView components.
  • App Maintenance: Actively maintained Pazarama, Pazarama İş Ortağım, and Maximum Mobile applications.
iOS Developer Intern
Magis Technology
Apr 2021 β€” Jun 2021
β–Ό
  • Contributed to the development of an e-sports gaming platform application using Swift, MVVM, and REST APIs.
// 03 β€” 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 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 β€” projects

Personal work

🧠
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 β€” 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 β€” contributing to computational pathology research through model training and evaluation.
// 05 β€” education

Background

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Computer Engineering
YΔ±ldΔ±z Technical University
Sep 2015 β€” 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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