Ömer Kuru

Computer Vision Object Detection Implementation: Designed and trained a proof-of-concept (PoC) model using the YOLO architecture to automate surface defect detection in aerospace components. AI-Based Screw Detection in Engine Assembly: Developed a Proof of Concept (PoC) for AI-powered screw detection at Ford Otosan. Computer Vision for NDT– Aerospace: Conducting R&D in the aerospace sector on NDT methods. LLM RAG-Based ERP Chatbot (Internal Project)

• LLMs Fine-tuning and Research & Development Designed and implemented fine-tuning pipelines using frameworks such as Hugging Face and PyTorch to enhance model performance and relevance. • AWS Bedrock, S3, Knowledge Base Implemented Retrieval-Augmented Generation (RAG) techniques using AWS Bedrock, Amazon S3, and AWS Knowledge Base, enhancing model capability and performance. • Federated Learning • Database Design • Project and Product Desing

• Data Analysis and Visualization • Recommendation Systems and Customer Interaction

Skills: Data Analysis · Machine Learning · Deep Learning · Computer Vision · Data Visualization · Python · PostgreSQL · Tableau · Microsoft Power BI

Skills: Social Psychology · Observation and Assessment · Family and Community Communication · Research and Development (R&D) · Human Behavior

Military Student Leadership · Team Leadership · Teamwork · Research and Development (R&D) · Project Planning Project Management · Strategic Planning