Gıyaseddin BAYRAK

About Me

Contact Details

Gıyaseddin BAYRAK
Istanbul
Turkey

info@giyaseddin.com

Education

Marmara University

Computer Engineering Department September 2019

AI, Machine Learning, Pattern recognition, and NLP.

Karabuk University

Bachelor's Degree in Computer Engineering September 2015 - September 2018

GPA 3.5 / 4

The program consisted of the main fundamental about the Programming as a concept and Programming Languages, besides an overview about hardware working principles and basics related to Networking.
I have completed the full 8 semester within only 3 years. During the 3 years I was onto improving my skills especially in Database management and Artificial Intelligence.

Experience

INNOEM Sürdürülebilirlik & İnovasyon Danışmanlık Ağı / Istanbul

Research And Development Engineer Nov 2022 - Now

Developing tools for Sustainability experts and Innovation specialists using Elasticsearch, NLG techniques with state-of-the-art LLMs.

Huawei / Istanbul

NLP Research Engineer Sep 2021 - Oct 2022

In NLP Research Department (Petal Maps Project), ◦ Research and development of features for Maps NLP services, in Arabic and Turkish languages ◦ Working on optimizing the results of the information retrieval in the map search, using both traditional and state-of-the-art machine learning solutions according to the use. ◦ Conducting literature reviews related to the ongoing challenges in the product. ◦ Assisting the Senior and Principal researchers to analyze data, solve problems with the required materials. ◦ Participating in the initial prototype phase of new features to integrate with the live product; developing required process and procedures tooling of the preliminary evaluation process. ◦ Taking part in the local and global field-specific conferences. ◦ Collaborating with team members to overcome any technical or methodological problems in the product.

Invent Analytics / Istanbul

Data Engineer Jan 2021 - Present

In Big Data department, responsible for:
Working in a data-oriented team that takes care of the data engineering part of SaaS leading project in retail optimization industry.
Developing existing tools for common use in a backward compatible way.
Providing support for tools for data transfer and between pipeline modules and workflow orchestration environment. Communicating with other software teams.
Following agile rules to achieve the assigned tasks.
Participating in major PIPs and features discussing within big-data team and other software teams.

MGS Software / Istanbul

Back-end Developer Sep 2019 - Dec 2020

Backend developer, responsible for:

  • Build infrastructure, toolset and deployment pipeline to support API development fro mid-scale projects
  • Embedding with other technical teams to support them in learning how to develop and maintain their own APIs
  • Work directly with the business to implement features and understand use cases
  • Guarantee services continuous deployment ability through a continuous integration workflow
  • Guarantee services continuous deployment ability through a continuous integration workflow
  • Contribute to functional definition of customer requirements
  • Making suggestions on how to improve current back-end applications
  • Communicating with key decision makers within the company on a daily basis
  • Writing clean and maintainable code.

More IT Information Technology / Istanbul

Software Engineer June 2018 - Aug 2019

Together with the team, we shipped many E-commerce projects within the team. Dealed with legacy code, refactoring and fixing bugs.

Attendance Tracking System Using Face Recognition / Karabuk

Graduation Project September 2017 - June 2018

The project was designed using face recognition techniques ++

Publications

1- Bayrak, G. and Issifu A., (2022) Domain-Adapted BERT-based models for Nuanced Arabic Dialect Identification and Tweet Sentiment Analysis. In Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP 2022) (Colocated with EMNLP 2022). Association for Computational Linguistics.

2- Akça, O., Bayrak, G., Issifu, A. M., & Ganіz, M. C. (2022, August). Traditional Machine Learning and Deep Learning-based Text Classification for Turkish Law Documents using Transformers and Domain Adaptation. In 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (pp. 1-6). IEEE.

3- Bayrak, G., Toprak, M. Ş., Ganiz, M. C., Kodaz, H., & Koç, U. (2022). Deep learning-based brain hemorrhage detection in ct reports. In Challenges of Trustable AI and Added-Value on Health (pp. 866-867). MIE Conference 2022 - IOS Press.

Conferences

EMNLP 2022

Abu-Dhabi UAE Dec 2022

MIE2022 By EFMI

The 32nd Medical Informatics Europe Conference (MIE2022) May 2022

Organized by The European Federation for Medical Informatics (EFMI) in Nice, France

International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES)

Karabuk/Turkey May 2018

4th International Workshop on Geoinformation Science: GeoAdvances

Karabuk/Turkey Oct 2017

Skills

The following list generally are the skills I consider myself good at:

  • Web Development
  • DB Management (Oracle Certified)
  • Python
  • Pattern Recognition
  • Big Data
  • Optimization
  • NLP
  • Apache Spark
  • AWS
  • Computer Vision
  • Networks