Available for new opportunities

Furkan Çinko

Computer Engineering Graduate (GPA: 3.58/4.0) with hands-on experience building AI-powered applications, backend systems, and data-driven solutions.

View My Work Download CV

About Me

Computer Engineering graduate from Üsküdar University and Erasmus+ exchange student at the University of Catania.

My experience spans AI automation, backend development, data science, and mobile application development. Through internships and personal projects, I have built AI-powered systems, scalable APIs, data pipelines, and cross-platform applications using modern software engineering practices.

I enjoy solving complex technical challenges and transforming ideas into reliable, production-ready solutions.

Skills & Tech

AI & Machine Learning

TensorFlow PyTorch Scikit-learn Hugging Face LangChain OpenAI API RAG LLM Automation

Data Science

Pandas NumPy Matplotlib SQL Feature Engineering

Backend & Databases

FastAPI Django .NET PostgreSQL Supabase pgvector

Tools & Platforms

Git Docker n8n Power Automate React Native Expo

Experience

Oct 2025 – Dec 2025
Germany (Remote)

AI Automation Intern

Apollo Green Solutions
  • Built a fully automated Leave Request System using Power Automate and Outlook API.
  • Designed and implemented an AI-powered HR automation system leveraging LLMs to evaluate candidates, extract CV data, and automate hiring workflows.
Jun 2025 – Jul 2025
Istanbul

Software Engineering Intern

MSC
  • Developed RESTful CRUD endpoints and scalable architecture (.NET, SQL).
  • Implemented fuel anomaly detection and real-time truck route visualisations with Folium, improving fleet monitoring efficiency by 20% (Python, Pandas).
Jul 2024 – Jun 2025
Istanbul

Operations Assistant

MSC Cruises
  • Coordinated daily operations for 500+ passengers in a fast-paced multinational environment.

Selected Projects

Prayer Tracker App

Cross-platform mobile app for daily prayer tracking with social features, streaks, and JWT auth.

React NativeFastAPIPostgreSQL

Brain Tumour Detection

VGG16-based CNN for MRI scan analysis, deployed publicly on Hugging Face Spaces.

TensorFlowKerasFlask

Machine Learning

Collection of various ML models, algorithms, and data science experiments.

Scikit-learnPandasNumPy

Deep Learning

Repository focused on neural networks, computer vision, NLP, and advanced deep learning architectures.

PyTorchTensorFlowNLP

Education

B.Eng. Computer Engineering

Üsküdar University, Istanbul
Oct 2021 – July 2026

GPA: 3.58/4.0 — High Honours

Erasmus+ Exchange

University of Catania, Italy
Feb 2026 – July 2026

Focus: Cloud infrastructure, big data

English Language Training

London, UK
Sep 2022 – Sep 2023

C1 Advanced certification

IBM Data Science Professional
IBM Generative AI Engineering
Harvard CS50: Computer Science
SuperDataScience: Deep Learning

Get In Touch

Open to graduate software engineering, backend engineering, AI engineering, and data-focused opportunities. Feel free to reach out regarding roles, collaborations, or interesting projects.