Stefan Micic

About the Instructor

Stefan Mićić is a seasoned MLOps and Data Engineer with nearly a decade of experience in machine learning, MLOps, and data engineering. His expertise spans across MLOps automation, infrastructure design, model optimization, and deployment of AI solutions at scale. With a Master’s degree in AI and a strong foundation in computer science, Stefan has worked across multiple industries, building end-to-end machine learning pipelines, optimizing deep learning models, and integrating DevOps best practices into ML workflows. His work has involved: MLOps & Cloud Infrastructure – Designing and implementing scalable MLOps pipelines on AWS, Azure, and Kubernetes using Terraform, SageMaker, and other cloud-native tools. Model Deployment & Optimization – Specializing in deep learning model optimization, inference acceleration, and cost reduction strategies, including ONNX, quantization, and containerization. LLM & AI Engineering – Deploying LLMs and computer vision models in production, with expertise in tools like OpenAI GPT, Falcon, LLaMA, and federated learning techniques. CI/CD & Automation – Implementing automated CI/CD pipelines for machine learning models, ensuring seamless integration and retraining with tools like MLflow, GitHub Actions, and Docker. Data Engineering & Big Data – Building ETL pipelines, working with Snowflake, PySpark, and Databricks, and designing data workflows for large-scale ML applications. Leadership & Mentorship – Leading ML teams, mentoring engineers, designing technical roadmaps, and participating in hiring and pre-sales activities. His work is driven by a passion for streamlining ML workflows through MLOps, making AI more scalable, cost-effective, and production-ready.