Summary
Lucía Kasman is a systems engineer and software professional based in Berlin with eight years of experience building scalable backend systems, data pipelines, and production ML models. Trained at the University of Buenos Aires, she has combined backend engineering (Java, Python, microservices) with data science and ML roles to deliver recommendation systems, real-time bidding models, and efficient ETL pipelines that measurably improved conversion and performance. Her work spans from optimizing concurrent text-analytics processing to deploying ML on AWS and designing control algorithms for heating automation with a focus on performance and energy efficiency. Comfortable across the full data-to-production lifecycle, she blends hands-on implementation with continuous monitoring and model optimization to drive business impact. Unusually for someone who moves between ML and systems, she has repeatedly cut runtime or increased conversion metrics in production contexts, showing a practical bent for measurable improvements.
8 years of coding experience
7 years of employment as a software developer
Virtual international collaborative course of Data Science and Machine Learning in Python, Virtual international collaborative course of Data Science and Machine Learning in Python at University of Applied Sciences and Arts Dortmund
Engineering, Ingeniería informática, Engineering, Ingeniería informática at University of Buenos Aires
English, German