Summary
Simone Boglio is a Recommender Systems Specialist and applied ML engineer with nine years of experience designing, deploying, and optimizing large-scale personalization systems across entertainment and OTT domains. Based in Luxembourg, he currently leads recommendation engineering for a 50M-daily-user live-streaming platform, driving retrieval-to-ranking solutions including a new two-tower retrieval model and strategies to mitigate popularity bias. He has a strong commercial delivery background from roles at ContentWise and Optibus, blending customer-facing solution design with hands-on MLOps, data-pipeline and caching-layer engineering. Comfortable across the ML lifecycle, Simone pairs offline evaluation, A/B testing and feature discovery with real-time and sequential recommendation techniques and operational tooling (Python, Dagster, DuckDB, Kafka, ElasticSearch). He also brings academic rigor from research at Politecnico di Milano, emphasizing reproducibility and beyond-accuracy metrics, and is known for turning complex recsys problems into measurable business impact. An uncommon strength is his fluency in both product-facing integration and low-level model engineering, enabling fast prototyping that directly influences product strategy.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science and Engineering, Master's degree, Computer Science and Engineering at Politecnico di Milano
Italian, English