💻 In industry, I currently lead AI-driven initiatives, applying data science and deep learning techniques to optimize business processes and solve real-world challenges. Previously, I refined my skills in data engineering and algorithm design through a large-scale search engine project, building robust pipelines for complex data flows.

🎓 In academia, I am currently a researcher in data science, pursuing a PhD with a focus on applying machine learning and deep learning techniques to temporal, sequential, and event log data for prediction, anomaly detection, and data-driven process intelligence. Previously, during my MSc studies, I published academic work in the field of semantic search.

🧩 Skills

• Technical Leadership & Architecture (technical leadership, solution design, system architecture, cross-functional collaboration)
• AI-Assisted Software Engineering (LLM-based workflows, agentic tooling, context engineering, AI-augmented development)
• Software Engineering (Java, Spring Framework, SQL, Python)
• Search & Distributed Data Systems (Elasticsearch, Apache Spark, Apache Kafka, Apache Cassandra, Redis)
• Data Science & Machine Learning (Python, NumPy, Pandas, Scikit-learn, PyTorch)
• Applied AI for Business Process Optimization (deep learning, predictive analytics, data-driven problem solving)

🤝 I am open to collaborations and knowledge exchange, particularly in leveraging expertise to design and implement innovative AI solutions.