Sasa Trajkovic

Background

About Sasa Trajkovic

I specialize in designing and building intelligent AI and machine learning (ML) systems that deliver real-world business value. My work spans predictive analytics, LLM applications (semantic search, entity recognition, RAG), cloud-native deployment, and MLOps pipelines taking solutions from idea to scalable production environments. Over the past several years, I’ve worked hands-on across the full AI lifecycle: from data ingestion and feature engineering to model development, deployment, and monitoring. I’ve built scalable ML systems using Kubernetes, AWS, Docker, and CI/CD pipelines, and developed solutions with frameworks like PyTorch, TensorFlow, and MLflow. Beyond technical skills, I take a pragmatic approach to engineering challenges, always focusing on building solutions that are reliable, maintainable, and aligned with real user needs. I thrive in collaborative environments, enjoy communicating complex ideas clearly, and adapt quickly to new technologies and challenges. I’m passionate about bridging the gap between machine learning, cloud infrastructure, and real-world applications — and always excited to explore new ways to deliver impact through intelligent systems.