Nisanur Ilhan

Cloud AI GDE

Istanbul, Türkiye

About

AI Engineer focused on building scalable, production-ready AI systems. Currently developing enterprise-grade generative AI applications and optimizing ML pipelines. Experienced in LLM fine-tuning, RAG architectures, and vision systems. Passionate about translating complex AI concepts into practical solutions and accessible technical content. ✍️ Open to speaking engagements, technical collaborations, and AI-focused discussions.

Experience

  • Senior Data Scientist at ING
    Feb 2026 - Present · 6 mos

  • Turkish Aerospace (3 yrs 11 mos)
    • Senior Data Science and Modelling Engineer
      Mar 2024 - Dec 2025 · 1 yr 10 mos

      - Conducted comparative analysis of various language models to optimize performance - Integrated and evaluated vision models for multi-modal capabilities - Implemented comprehensive performance metrics and evaluation frameworks - Built RAG architecture for accurate company-specific responses - Developed and deployed an in-house enterprise chatbot using fine-tuned LLMs - Optimized object detection and tracking system - Created spike detection algorithm for anomaly detection in time-series data

    • Data Science and Modelling Engineer
      Aug 2022 - Mar 2024 · 1 yr 8 mos

    • Sensor Data Fusion Engineer
      Feb 2022 - Aug 2022 · 7 mos

      Implementing tracking filters, such as KF, EKF, and IMM to predict state measurement. Developing association algorithms to resolve sensor data ambiguities and conflicts, such as GNN, JPDA, MHT. Creating prediction algorithms for multi-sensor multi-target tracking.

  • Teaching Assistant at Sabancı Üniversitesi
    Oct 2020 - Oct 2022 · 2 yrs 1 mo

    Teaching assistant of an interfaculty course "IF100 Computational Approaches to Problem Solving" that aims to teach the logic of programming and Python in Sabancı University.

  • Autonomous Driving Software Development at OTOKAR Otomotiv ve Savunma Sanayi A.Ş.
    Jan 2021 - Nov 2021 · 11 mos

    I was part of the Perception team and focused on the camera and Lidar sensors. Work on the implementation, development and testing of the Perception algorithms (such as point cloud data preprocessing, object detection, tracking and segmentation) with using sensor fusion and artificial intelligence. ISO26262 Functional Safety Workshops -- Gain Automotive Sector Know-How

  • Data Management and Artificial Intelligence Department at Türkiye İş Bankası
    Dec 2020 - Jan 2021 · 2 mos

    - Bank-Data management was organized and exploration for better application&decisions using SQL and Spark on real customer data on Oracle Database. - Data Results Reports to manager with using PowerBI. - Short-term&Intensive Data Management&Big Data Trainings thanks to experienced bank employee and online education platforms.