CV

CV and professional profile of Selcuk Senturk, an AI and machine learning engineer focused on AI agents, RAG systems, computer vision, LLM applications, and production ML.

Contact Information

Name Selcuk Senturk
Professional Title AI and Machine Learning Engineer
Email selcuksntrk@gmail.com
Location Istanbul, Turkiye
Website https://selcuks.com

Professional Summary

AI and machine learning engineer at IBM Expert Labs, specializing in intelligent systems that understand, adapt, and solve complex problems. Background in Physics and Computer Science with expertise in LLMs, AI agents, deep learning, and NLP.

Experience

  • 2025 -

    AI and Machine Learning Engineer, Expert Labs
    IBM
    Developing enterprise AI applications and multi-agent systems using the IBM Watson X platform.
    • Implementing Watson Orchestrate for agent orchestration and Watsonx.ai for custom model development
    • Delivering comprehensive AI solutions, overseeing model development to production deployment and governance implementation
  • 2025 - 2025

    Artificial Intelligence Specialist
    Kastas Sizdirmazlik Teknolojileri
    Researching and implementing AI agents to transform complex business processes into streamlined workflows.
    • Developing AI automation solutions to enhance company operations and improve efficiency of departments
    • Creating custom AI solutions on Microsoft Azure to deliver innovative business improvements
    • Guiding digital transformation efforts by identifying, analyzing, and automating key business processes
  • 2024 - 2024

    Data Scientist
    Siskon Yazilim and Otomasyon
    Designed data collection strategies to extract insights from production processes.
    • Leveraged advanced analytics and machine learning techniques to optimize manufacturing operations
    • Automated tasks to improve efficiency in manufacturing processes
  • 2023 - 2024

    Data Scientist
    KPMG Turkiye
    Developed large language model applications for document question answering, ensuring data governance compliance for top companies in Turkey.
    • Consulted with major corporations on data governance strategies and implemented machine learning applications
    • Utilized Docker for ML application deployment and created data dashboards for visualization using Streamlit
  • 2022 - 2023

    Machine Learning Engineer Intern
    infuseloop
    Developed a question answering system with NLP models, focusing on knowledge discovery from documents with AI.
    • Created data collection and processing pipelines, built reliable models, and worked on elastic search algorithm
    • Contributed to accelerating knowledge discovery and improving search accuracy in a startup environment
  • 2022 - 2022

    Data Science Intern
    Jotform
    Developed a project to detect outliers in time series data using statistical techniques and Facebook’s Prophet algorithm.
    • Created a forecasting project for future predictions, gaining experience in research and development processes
  • 2021 - 2022

    Research Intern, Machine Learning
    Izmir Institute of Technology
    Conducted research on machine learning techniques for protein family classification using distance matrices.
    • Collaborated with Mehmet Serkan Apaydin at Izmir Institute of Technology
    • Explored preprocessing operations to optimize protein classification accuracy
  • 2020 - 2021

    Research Intern, Machine Learning
    Istanbul Technical University
    Conducted PCA operation to reduce data size, optimizing machine learning model performance.
    • Collaborated with researchers on a project for classifying customers’ internet speed using machine learning
    • Worked remotely with Assoc. Seda Yanik and Prof.Dr. Neslihan Serap Sengor

Education

  • 2024 - 2026

    Master of Science
    Ege University
    Computer Science
  • 2017 - 2023

    Bachelor of Science
    Izmir Institute of Technology
    Physics

Awards

  • KPMG DxA Olympics Data Analytics Challenge
    KPMG

Skills

AI and Machine Learning: Large Language Models (LLMs), RAG Architectures, AI Agents and Multi-Agent Systems, Deep Learning and Neural Networks, Natural Language Processing, Computer Vision, Time Series Analysis
Frameworks and Tools: PyTorch, TensorFlow, LangChain and LangGraph, Hugging Face Transformers, Scikit-learn, Docker, Streamlit
Platforms: IBM Watson X, Microsoft Azure, AWS

Languages

Turkish : Native
English : Professional Working

Interests

AI Research: ML Model Optimization, Efficient AI Systems, Multi-Agent Systems, LLM Applications

Certificates

  • IBM AI Engineering Professional Certificate - IBM
  • Deep Learning Specialization - Coursera and DeepLearning.AI
  • Machine Learning: Algorithms in the Real World Specialization - Coursera
  • Mathematics for Machine Learning Specialization - Coursera and Imperial College London
  • Deep Neural Networks with PyTorch - Coursera and IBM