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MG

Melisa Güler

AI Engineer

Pendik/Istanbul

I am an AI Engineer with a Master's degree in Artificial Intelligence Engineering and a background in Management Information Systems. My expertise includes computer vision, deep learning, image processing, artificial neural networks, and Python-based application development. I build AI solutions with TensorFlow, PyTorch, OpenCV, and Scikit-learn, alongside web, backend, and desktop applications. I developed an AI-powered multilingual language-learning desktop application featuring real-time object detection with a fine-tuned SSD MobileNetV2 model, deploying it on the NVIDIA Jetson Nano Developer Kit for embedded AI inference. My master's research, conducted within the Turkish Defence Industry Agency's AI Capability Cluster, focused on aerial target detection by combining radar data with computer vision techniques. I also contribute to medical AI research involving real-world medical imaging data, collaborating with radiologists and developing machine learning and deep learning models for clinically relevant tasks. I am passionate about creating innovative AI-driven solutions and applying intelligent software to meaningful real-world problems.

Experience

MA

Research Member | Medical AI Research Group

Medical AI Research Group

May 2026 – Present

I develop and evaluate advanced deep learning and machine learning algorithms for scientific research in medical AI. I collaborate with radiologists from Gulhane Training and Research Hospital using real-world medical imaging data, design and assess AI models for clinically relevant imaging tasks, and contribute to scientific publications prepared for submission to Q1 journals.

Deep learningMachine learningMedical AIMedical imagingArtificial intelligenceScientific researchRadiologyModel evaluation
BD

Artificial Intelligence Engineer

B Digital Gen Software and Technology

Jan 2023 – Jan 2025

Istanbul, TurkeyFull time

I developed an AI-powered desktop application for multilingual language learning using Python and Tkinter, integrating a fine-tuned SSD MobileNetV2 model for real-time object detection. I designed the application with TensorFlow, OpenCV, NumPy, and Pygame and deployed it on the NVIDIA Jetson Nano Developer Kit for embedded AI inference. I also developed Python applications and backend services with Django and REST APIs, using MongoDB for database management and Docker for containerization and deployment.

PythonTkinterSSD MobileNetV2TensorFlowOpenCVNumPyPygameNVIDIA Jetson NanoDjangoREST APIsMongoDBDockerReal-time object detectionEmbedded AI inference
DP

Software Intern

Diattack Predictive Security

Jan 2021 – Jan 2022

Istanbul, TurkeyInternship

I improved my software development skills with Python while contributing to projects focused on defending against cyber threats. I developed practical software solutions to support cybersecurity initiatives.

PythonSoftware developmentCybersecurity

Education

UU
Uskudar University, Istanbul

Masters in Artificial Intelligence Engineering, Artificial Intelligence Engineering

2023 – 2025

MU
Marmara University, Istanbul

Management Information Systems, Management Information Systems

2019 – 2023

Skills

Computer VisionDeep LearningMachine LearningImage ProcessingArtificial Neural NetworksPythonTensorFlowPyTorchOpenCVScikit-learnNumPyDjangoREST APIsTkinterPygameMongoDBDockerEmbedded AI InferenceObject DetectionRadar Data ProcessingMedical ImagingResearch and DevelopmentDesktop Application DevelopmentBackend DevelopmentSoftware Design

Languages

English
Professional working proficiency
Turkish
Native or bilingual proficiency