My work goes beyond developing models I design and implement complete data-driven systems, from data ingestion and processing to model integration and deployment in real environments. I have hands-on experience working on both client-facing projects as well as industrial and research collaborations, where I built real-time data pipelines, anomaly detection systems, and machine learning models operating on high-frequency data streams. I regularly work with Python and modern ML frameworks such as PyTorch, and I am comfortable developing scalable architectures using tools like Kafka, Docker, and microservice-based systems. I also have experience fine-tuning models and working with large language models in applied settings. What defines my approach is that I don’t think in isolated models, but in complete systems. I focus on reliability, maintainability, and how AI features actually integrate into products and workflows. This includes designing clean data flows, building APIs and services, and ensuring that solutions perform under real-world constraints. I have taken ownership of complex projects, including technical planning, architecture decisions, and coordination, which helped me develop a structured and responsible way of working. I am used to remote work, self-organization, and collaborating with cross-functional teams. Outside of work, I continuously build personal projects, including a local AI-powered document management system focused on structuring and retrieving information from large document collections. I am highly curious, ambitious, and driven to deeply understand new technologies and turn them into practical solutions.…My work goes beyond developing models I design and implement complete data-driven systems, from data ingestion and processing to model integration and deployment in real environments. I have hands-on experience working on both client-facing projects as well as industrial and research collaborations, where I built real-time data pipelines, anomaly detection systems, and machine learning models operating on high-frequency data streams. I regularly work with Python and modern ML frameworks such as PyTorch, and I am comfortable developing scalable architectures using tools like Kafka, Docker, and microservice-based systems. I also have experience fine-tuning models and working with large language models in applied settings. What defines my approach is that I don’t think in isolated models, but in complete systems. I focus on reliability, maintainability, and how AI features actually integrate into products and workflows. This includes designing clean data flows, building APIs and services, and ensuring that solutions perform under real-world constraints. I have taken ownership of complex projects, including technical planning, architecture decisions, and coordination, which helped me develop a structured and responsible way of working. I am used to remote work, self-organization, and collaborating with cross-functional teams. Outside of work, I continuously build personal projects, including a local AI-powered document management system focused on structuring and retrieving information from large document collections. I am highly curious, ambitious, and driven to deeply understand new technologies and turn them into practical solutions.WWWW…