Simone Boglio Email & Phone Number

Luxembourg

Byborg is an online entertainment company providing a global live-streaming platform in the adult industry (50M daily users). My main responsibilities are managing and developing the recommender system that powers the site:- Applied ML: frame the problem, design solution, conduct data and feature discovery, offline evaluation, A/B testing, continuous improvement and fine-tuning, stay updated with the state-of-the-art advancements.- New algorithm: design and implementation of a… Show more Byborg is an online entertainment company providing a global live-streaming platform in the adult industry (50M daily users). My main responsibilities are managing and developing the recommender system that powers the site:- Applied ML: frame the problem, design solution, conduct data and feature discovery, offline evaluation, A/B testing, continuous improvement and fine-tuning, stay updated with the state-of-the-art advancements.- New algorithm: design and implementation of a new model able to detect and recommend the most trending and engaging live streams, increasing user conversion.- Multi-list interface: led the design and implementation of a new interface with multiple variegated carousels, enhancing user acquisition.- ML framework ownership: prototype models, feature selection, offline evaluation and optimization (Python, Pandas, MLFlow, Optuna, Dagster, Evidently).- Analytics improvement: identification of new RecSys-related and business KPIs, architectural design of data pipelines, led the POC of an internal solution to enhance decision-making processes (Python, Dagster, DuckDB, Ibis, Superset)- Other: real-time and sequential recommendations, behavioural testing, and real-time image recognition to improve personalization. Regularly presented findings and strategies to stakeholders, driving key product decisions. Show less

London, United Kingdom (Remote)

Optibus is a cloud-based AI platform that leverages advanced optimization algorithms and distributed computing to make public transportation better and more efficient. My main responsibilities are the setup, crew/vehicle/route optimization, and delivery of multiple international projects.

Milan Area, Italy

ContentWise is an AI-driven UX personalization and recommendation solution for OTT Video services. Customers for which I work include Telefonica Movistar, Dish, TimVision, and SKY Italy. My main responsibility is the delivery of international projects to integrate ContentWise’s suite into customer platforms:- Customer-facing: collect requirements, design and implement solutions ensuring best practices in integration and optimal UX.- Technical: collaborate with system… Show more ContentWise is an AI-driven UX personalization and recommendation solution for OTT Video services. Customers for which I work include Telefonica Movistar, Dish, TimVision, and SKY Italy. My main responsibility is the delivery of international projects to integrate ContentWise’s suite into customer platforms:- Customer-facing: collect requirements, design and implement solutions ensuring best practices in integration and optimal UX.- Technical: collaborate with system integrators, DevOps, and product team to deliver scalable and resilient solutions for SaaS and on-premise customers. Develop customizations, monitoring, and troubleshoot technical issues at various levels of the stack.- Business and product: partners with sales and pre-sales teams in POC activities, presentations, and deep-dive training on specific product features.In addition, as a Recommender Systems specialist, I’m in charge of:- ML model optimization & tool ownership: leading the selection, evaluation, and optimization of recommender system algorithms. Prototype models, feature selection, Bayesian optimization, ranking and beyond-accuracy metrics (Python, Cython, Jupyter Notebooks).- Design and implement a scalable and reliable caching layer for batch recommendations (EKS, NiFi, Java, EFS, ElasticSearch).- Build data pipelines for data ingestion, management and metadata enrichment with external sources (Python, Java, Kafka, ElasticSearch).- MLOps ambassador: promote its adoption within the company. Design and evaluate incremental phases to migrate legacy components and add new features. Show less

Milano, Lombardia, Italia

Research on Recommender Systems under the supervision of Professor Paolo Cremonesi. Focused on reproducibility, evaluation, optimization, and competitiveness analysis of machine learning and deep learning recommendation algorithms.