Anil Ozturk

AI Researcher

Istanbul, Türkiye6 yrs 9 mos experience
Highly Stable

Key Highlights

  • Kaggle Competition Master with extensive ML experience.
  • Expert in developing advanced machine learning pipelines.
  • Strong background in reinforcement learning and autonomous driving.
Stackforce AI infers this person is a Machine Learning Specialist with a focus on Automotive and SaaS industries.

Contact

Skills

Core Skills

Machine LearningDeep LearningReinforcement LearningUnsupervised LearningAlgorithm Design

Other Skills

PythonAlgorithmsData ScienceObject DetectionGenerative Adversarial Networks (GAN)ElectronicsEngineeringCADSocial MediaRoboticsImage ProcessingObject-Oriented Programming (OOP)Deep Neural Networks (DNN)C#C

About

Kaggle: https://www.kaggle.com/nlztrk Github: https://www.github.com/nlztrk Regardless of the domain, Anıl is deeply interested in (and actively works on) all areas within machine learning, deep learning, and reinforcement learning. He follows Kaggle closely and dedicates as much time as possible to both local and international competitions. In his workflow, he prefers lightweight, interpretable approaches for traditional ML, and modern neural architectures for deep learning.

Experience

6 yrs 9 mos
Total Experience
1 yr 8 mos
Average Tenure
1 yr 9 mos
Current Experience

Trendyol group

Senior Data Scientist

Sep 2024Present · 1 yr 9 mos · Istanbul, Türkiye · Hybrid

Kaggle

3 roles

Master

Nov 2022Present · 3 yrs 7 mos

Expert

May 2022Nov 2022 · 6 mos

Contributor

Feb 2021May 2022 · 1 yr 3 mos

Eatron technologies

3 roles

Senior Machine Learning Engineer

Jun 2022Sep 2024 · 2 yrs 3 mos · Istanbul, Türkiye

  • Developing a pipeline that estimates the remaining time for a battery until the end of useful life.
  • Developed a pipeline that can detect specific faults from instant measurements for a well-known battery manufacturer and packaged it as a dockerized environment.
Machine LearningDeep LearningPythonAlgorithmsData Science

Machine Learning Engineer

Jun 2021Jun 2022 · 1 yr · Istanbul, Türkiye

  • Developed an autonomous driving RL model that makes use of perception applications.
  • Developed a pipeline that analyzes leading indicators to enable diagnosis of battery cell issues months in advance.
Reinforcement LearningMachine LearningPython

Machine Learning Researcher

Sep 2019Jun 2021 · 1 yr 9 mos · Istanbul, Türkiye

  • Participated in autonomous driving oriented research projects funded by the company.
  • Clustered vehicles using unsupervised learning to extract more precise decision-making insights
  • Designed an application-specific object detection network by implementing, customizing and simplifying SOTA variants
  • Developed an efficient lane changing algorithm using deep reinforcement learning
  • Created and customized PyGame environments
Unsupervised LearningDeep LearningObject Detection

Itu artificial intelligence and data science application and research center

Researcher

Aug 2019Jun 2021 · 1 yr 10 mos · Istanbul, Turkey

  • Generated realistic traffic trajectories using novel GAN approaches
  • Investigated value of curriculum reinforcement learning in autonomus driving
  • Designed an automated curriculum learning algorithm for optimal training performance
  • 1 conference paper, 1 workshop paper
Generative Adversarial Networks (GAN)Reinforcement LearningAlgorithm Design

Yildiz technical university

Mechatronics Engineering Intern

Jul 2017Sep 2017 · 2 mos · Istanbul, Istanbul, Türkiye

  • Estimated the angle of an object in fluid solution with C++ / OpenCV
  • Object detection and tracking in C# / EmguCV

Demsan tekstil makine

Manufacturing Intern

Jul 2016Aug 2016 · 1 mo · Türkiye

  • Manufacturing & Installation
  • PLC Programming

Education

Istanbul Technical University

Master of Science - MS — Computer Engineering

Sep 2018Jul 2021

Yıldız Teknik Üniversitesi

Bachelor of Science - BS

Sep 2014Jul 2018

Bursa Ahmet Erdem Anatolian High School

High School Diploma

Jan 2010Jan 2014

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