Pascale Borscia is a seasoned Data and DevOps engineer with 11 years of experience at Orange, currently shaping personalization and recommendation systems to deliver tailored customer offers using AI. She combines deep cloud-native skills on GCP (BigQuery, Composer, Vertex AI, Dataflow, GKE) with hands-on expertise in Kafka, Spark, Airflow and container orchestration to productionize large-scale ML workloads. Her background spans research and product engineering—from IoT and embedded “Maison Sensible” projects to auto-scaling deep learning systems—giving her a rare mix of experimental rigour and operational discipline. Equally comfortable in Python, Java and Rust, she builds performant, privacy-aware ML pipelines and deploys them across hybrid cloud infrastructures. Based in Arcangues, France, Pascale is a pragmatic architect who also contributes to middleware and open-source IoT tooling, reflecting a long-standing focus on resilient, message-oriented systems.
10 years of coding experience
9 years of employment as a software developer
DESS Génie Informatique et Magistère Informatique, DESS Génie Informatique et Magistère Informatique at Université Joseph Fourier (Grenoble I)
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