Yavuz Melih Özgüven

Bio

I have three years of experience as a software engineer. I'm interested in developing data-driven systems that interact with the actual world. Machine learning, big data, distributed systems, microservices, and backend programming are some of my research interests.

Vitæ

• Istanbul, Turkey

  Sep'22 - Now
  

  Software Engineer - Insider

• Istanbul, Turkey

  May'22 - Jun'22
  

  Data Scientist - Getir

  I've done ad-hoc analyzes on the supply chain.

• Kocaeli, Turkey

  Jan'22 - Now
  

  MSc Student - Kocaeli University

  I'm pursuing a degree in information systems engineering. Big data, machine learning, probability, and advanced software engineering are some of the areas I study.

• Istanbul, Turkey

  Aug'21 - May'22
  

  Software Engineer - LC Waikiki

  I worked remotely as a software engineer. I focused on solving PLM (Product Lifecycle Management) problems using .net core.

• Istanbul, Turkey

  Jun'21 - Jul'21
  

  Mobile Application Developer Intern - Intertech

  I was a member of a team that developed the super app. Together with this team, we developed a mobile application using spring boot and react.

• Kocaeli, Turkey

  Jul'20 - Sep'20
  

  Machine Learning Intern - Kocaeli University Smart Systems Lab.

  This is where I met Tensorflow. I have done machine learning and deep learning studies here.

• Kocaeli, Turkey

  Apr'19 - Nov'19
  

  Software Developer - Ozka Tyre

  I developed an intranet site here. I designed a Network monitoring system using .Net.

• Kocaeli, Turkey

  Sep'16 - Nov'21
  

  B.Sc. Student - Kocaeli University

  This is where I learned about data structures, algorithm complexity and so many other things that I use so often that still surprise myself from time to time.

Publications

• Distributed messaging and light streaming system for combating pandemics

  A case study on spatial analysis of COVID-19 Geo-tagged Twitter dataset

  Özgüven Y. M. , Eken S.

• A Dockerized Big Data Architecture for Sports Analytics

  A Dockerized Big Data Architecture for Sports Analytics

  Özgüven Y. M. , Gönener U. , Eken S.

Other Projects

• Artify

  Style transfer android application using Tensorflow models

  Tags: #deep-learning #computer-vision #object-detection #style-transfer #android

• Real-time Network Intrusion Detection

  Graduation project. KDD CUP 99 dataset was used in this project. Using the data in this dataset, a machine learning model was created with Apache Spark. With Apache Spark Streaming, network attack predictions were made through this model in a real-time and distributed manner.

  Tags: #machine-learning #kddcup99 #apache-spark #scala

• Remote Method Invocation Color Quantization

  Color quantization examples were made using Octree and MedianCut algorithms.

  Tags: #java-rmi #remote-method-invocation #octree #mediancut #color-quantization

• Pac-Man Jr.

  A simple mini game developed using the breadth first search algorithm.

  Tags: #data-structeres #java #breadth-first-search #oop

• Book Recommendations System

  Book recommendations system using 'User Based Collaborative Filtering' with cosine similarity method

  Tags: #java #collaborative-filtering #cosine-similarity