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Chingiz SeyidbayliCS

Chingiz Seyidbayli

AI Researcher & Consultant | Education

€150/day
Clausthal-Zellerfeld, DE
3-7 years

Average response time: 1 hour

About Chingiz


I have been working with artificial intelligence for more than 5 years and I have been developing deep learning and image processing based software in the field of artificial intelligence in health, especially in digital pathology. I worked on Breast Cancer Detection with Hybrid Deep Feature Fusion as my master's thesis topic. Currently, I am continuing my PhD journey in TU Clausthal and work here as a PhD Researcher

Services I provide;
  • Identification of user/project needs
  • Technology Consulting
  • Artificial Intelligence Consulting
  • Computer Vision Consulting
  • Prompt Engineering
  • Artificial Intelligence Training/Courses
  • English

    Native or bilingual

  • Turkish

    Native or bilingual

Can work on-site
Clausthal-Zellerfeld (up to 50km)

Experience

  • Technische Universität Clausthal
    Research Assistant (Wissenschaftlicher Mitarbeiter)
    February 2024 - Today (2 years and 4 months)
    Clausthal-Zellerfeld, NI, Germany
    I am working as an AI researcher in BioIntAkt (Biodiversity Factor Measurement with intelligent acoustic sensors) project funded by BMBF (Federal Ministry of Education and Research (Germany)). The aim of the project is to use artificial intelligence methods for biodiversity detection and autonomous identification of insect species based on their sounds. In addition to this, I continue my artificial intelligence research and teaching activities.
  • Corsound.AI
    MLOps Engineer
    August 2022 - November 2023 (1 year and 3 months)

    - Built and managed pipelines for collecting, preparing, and processing datasets for machine learning projects.
    - Trained and optimized deep learning models to solve real-world problems.
    - Conducted research on the latest machine learning and deep learning techniques to integrate cutting-edge solutions.
    - Evaluated models to ensure accuracy and reliability, delivering effective results.
    - Analyzed results from experiments and created clear reports to share insights with the team.
  • Technomind Digital Systems
    Software Engineer | Machine Learning Engineer
    September 2020 - August 2022 (1 year and 11 months)
    İstanbul, Türkiye

    - Contributed to interface development for segmentation and annotation of cell based pathology images, improving user workflows and data accuracy.
    - Collaborated on the development of a deep learning model for the classification of cell-based pathology images, enhancing diagnostic capabilities.
    - Participated in the Extended Depth of Field (EDF) Development Team as an Embedded Software Developer, contributing to a patented technology.
    - Conducted research on artificial intelligence algorithms and models, along with comprehensive literature reviews to support ongoing innovation.
    - Prepared and submitted applications for TÜBİTAK 1507 (Turkey Government R&D Support Program) and KOSGEB (Turkey Government Industrial R&D/ M&D Support Program), securing funding and project support.
    - Designed project workflows by creating and distributing project steps, tracking progress, and generating periodic reports.
    - Created detailed budgets, project timelines, and managed event planning, including organizing team meetings and stakeholder sessions.
    - Managed procurement for product and material supplies, ensuring timely delivery for project needs.

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Education

  • Doctor of Philosophy - PhD, Engineering
    Technische Universität Clausthal
    2024
    Doctor of Philosophy - PhD, Engineering
  • Master of Science
    Yıldız Teknik Üniversitesi
    2022
    Master of Science - MS, Mechatronics Engineering

Skill set

Categories