Damian Ł is an AI/ML Architect with 11 years of experience designing and shipping production-grade machine learning and analytics systems across media, finance, and robotics. He currently architects churn prediction, recommendation, and real-time analytics pipelines at Paramount while simultaneously co-leading an indoor autonomous robot platform that runs complex perception and speech workloads on edge hardware. His background spans big-data engineering (Spark, Databricks, Kafka, Elasticsearch), classical and deep learning (scikit-learn, computer vision, NLP), and embedded/ROS development with CUDA and NVIDIA Jetson. Previously he led fraud-detection and graph-based analytics at mBank and built large-scale NLP systems at Samsung, demonstrating an ability to move models from research into resilient, low-latency production. Comfortable in Python, Scala, Java and C++, Damian blends strong mathematical foundations with hands-on systems integration and hardware-aware optimization. He brings an uncommon mix of enterprise-scale ML architecture and robotics edge expertise, enabling cross-domain solutions that bridge cloud and embedded constraints.
10 years of coding experience
6 years of employment as a software developer
major: Mathematics-Informatics, major: Mathematics-Informatics at I LO Bialystok
Master’s Degree, Mathematics and Statistics, Master’s Degree, Mathematics and Statistics at Uniwersytet Warszawski
Contributions:8 pushes, 2 branches in 3 years 7 months
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