Education

MSc. in Machine Learning

2023, at University of Tübingen, Tübingen, Germany

BSc. in Computer Engineering

2018-2023 at Middle East Technical University, Ankara, Turkey

  • GPA: 3.83/4.00
  • Ranked 5th in the department
Experience

Student Assistant

Autonomous Vision Group, Tübingen, Germany
May 2024 - Present

  • Taking role for the development of the website Scholar Inbox
  • Designed and tested augmentation techniques for improving the detection score of the machine learning algorithms
  • Built end-to-end pipeline for OCR to work with various newspapers sources and formats for creating a NLP dataset

Deep Learning & Computer Vision Engineer

DataBoss Security & Consulting, Ankara, Turkey
Nov 2022-Aug 2023

  • Integrated and tested latest SOTA object detection models
  • Designed and tested augmentation techniques for improving the detection score of the machine learning algorithms
  • Built end-to-end pipeline for OCR to work with various newspapers sources and formats for creating a NLP dataset

Deep Learning & Computer Vision Engineer Intern

Kuartis Technology and Consulting, Ankara, Turkey
Aug 2022 - Sep 2022

  • Implemented a deep learning model that segments and classfies the roads type for the autonomous vehicle.
  • Implemented and automized a pipeline for uploading company data into annotation tool for object detection and segmentation.

Undergraduate Researcher, Supervised by Prof. Sinan Kalkan

KOVAN Research Lab, Ankara, Turkey
Aug 2021 - Sep 2021

  • Trained a robot agent that can pick up object from a table and join them together from their desired spots.
  • Upgraded the camera system of the simulation environment for multiple-camera usage.

Undergraduate Researcher, Supervised by Prof. Reda Alhajj

TUBITAK, Ankara, Turkey
Feb 2021 - Jul 2021

  • Created a web-based tool that allows users to upload datasets, display them, preprocess them, and then utilize the preprocessed datasets to train machine learning or deep learning models.
  • Using LSTM, trained a deep learning model to predict whether or not a patient has a certain eye illness.

Skills
  • Python
  • Pandas
  • PyTorch
  • Tensorflow
  • Numpy
  • Scikit-learn
  • C/C++
  • Flask
  • HTML/CSS/JS
  • SQL/NoSQL
  • Linux
  • Shell (Bash/Zsh)
  • LaTeX
  • Git/Github
  • Docker
  • REST
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