Summary
Kasper Sapała is a pragmatic software engineer with 8 years of experience building production systems across high-frequency trading, observability, and environmental data platforms. He blends strong algorithmic foundations and deep hands-on experience with Java, Python, Spring Boot, Kafka and AWS to deliver scalable, low-latency services and anomaly-detection pipelines. His background spans applied research—developing deep-learning pollution-forecast models with PyTorch/TensorFlow—to production engineering at Qualtrics and an undisclosed HFT firm, showing an ability to move models into robust, real-time systems. Based in Krakow and completing an MS in Computer Science at AGH, he’s known for independent initiative, clear knowledge-sharing, and a willingness to tackle technically demanding domains that bridge research and operations.
8 years of coding experience
4 years of employment as a software developer
AGH University
English, Polish