Elif Cansu YILDIZ

Machine Learning Engineer


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Elif Cansu YILDIZ

Elif Cansu YILDIZ

Machine Learning Engineer


I am a machine learning engineer and hold a Master's degree in Computer Science from the University of Bonn and a Bachelor's degree in Computer Engineering from the Yıldız Technical University. In my past experiences, I worked on deep learning-based research projects in the computer vision field. Also, I worked on a research and development project at a software company before my master's study. I am skilled in machine learning, deep learning, and software engineering field and am passionate about building my career in the AI field by developing impactful solutions.


Apart from my career, I have been playing table tennis since I was seven years old and have attended numerous tournaments personally and as a team, winning top honors in many of them. Additionally, I love dancing, traveling, and enriching my experiences with new places, foods, and fun.


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Image Processing Tool

This project provides a Qt user interface for some image processing methods so that the user can play with these methods interactively.
Features:
1. Model-view-controller based design
2. Used PySide6 which is the newest version of Qt library for Python.
3. Multi-thread approach is used in order to increase the performance and prevent shuttering on the interface.
4. Various image warping and image filtering methods are implemented.
5. Applying multiple effects progressively and undo feature.


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Image Processing Tool

This project provides a Qt user interface for some image processing methods s...

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Stereo Depth Estimation

Stereo depth estimation task is handled by implementing PSMNet and GC-Net models using PyTorch Deep Learning Framework. The models have been trained on Driving Dataset, Monkaa Dataset, Flyingthings3D Dataset, tested on Kitti Dataset. To attain the highest result, different ideas have been tried and hyperparameter tuning has been carried out in a variety of experiments.


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Stereo Depth Estimation

Stereo depth estimation task is handled by implementing PSMNet and GC-Net mod...

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Deep Learning Projects

Digit Classification on MNIST, Logistic Regression on CIFAR10 and CNNs on SVHN projects are available.


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Deep Learning Projects

Digit Classification on MNIST, Logistic Regression on CIFAR10 and CNNs on SVH...

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Computer Vision Projects

The following 5 mini projects have been implemented.
1. Regression and Classification
2. Decision Forest for Segmentation
3. Convolutional Neural Networks
4. Object Classification
5. Segmentation with k-Means


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Computer Vision Projects

The following 5 mini projects have been implemented. 1. Regression and Classi...

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Resource Planning and Management System on Performance Data for Real-Time and Multi-Source Application Virtualization Platforms

The objective of the project is to develop a resource management system which manages the virtualized applications dynamically in containerization platforms like Docker. The software will be able to accumulate, store and process the performance data, thus monitoring containerization platforms simultaneously, to be able to react to any possible risk in these platforms as well as running numerous customer services on virtualized containers without any delay.


Resource Planning and Management System on Perf...

The objective of the project is to develop a resource management system which...

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Data Mining Library for Sparkling Water

The main purpose of the system is to present ease of data mining on the Big Data platform with the support of distributed structure for the desired dataset. For each algorithm performance tests have been performed on distributed structure, analyzes have been carried out and the performance improvement on multi-node structure has been represented. In order to conclude this work, the academic paper has been written, presented at UBMK conference and published on IEEE.


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Data Mining Library for Sparkling Water

The main purpose of the system is to present ease of data mining on the Big D...