Aniello P.

Led the data science workstream on a production ML platform for Ferrari's EV fleet, helping prevent vehicle breakdowns before they happen across a live fleet of ~4,300 cars.

Designed and owned the full pipeline, from raw telemetry ingestion on AWS through to predictive alerts and an interactive monitoring dashboard used by the engineering team.

Built battery drain models, parking behavior predictors, and a multi-signal early warning system using LightGBM and Bayesian methods.

Delivered everything to production standards: modular, tested, and built to scale.

• Designed and deployed LLM-powered document classification pipelines, reducing manual review time by 60% and saving over £500K annually.
• Developed FastAPI-based microservices to support secure and scalable ML workflows.
• Built real-time NLP pipelines on Azure and AWS with 99.9% uptime for operational analytics.
• Introduced CI/CD automation and test-driven development across ML pipelines.
• Collaborated with research and modeling teams to transform prototypes into production-ready solutions.

• Designed and managed HPC pipelines for LLM benchmarking using Dask on distributed clusters.
• Optimized workload orchestration, reducing benchmark runtime by 50% across compute clusters.
• Contributed to internal HPC infrastructure libraries, enhancing experiment reproducibility and scalability.
• Supported research teams with computationally intensive AI experiments and pipeline automation.

• Built predictive maintenance systems that reduced equipment downtime by 40%, resulting in £1.8M in annual savings.
• Led an Agile team of five engineers, mentoring developers in TDD, CI/CD, and scalable system design.
• Delivered analytics dashboards and predictive pipelines deployed across 20+ global industrial sites.

• Developed REST APIs and backend microservices in Java, integrated with SQL databases.
• Participated in a structured training program covering software engineering, Agile, and CI/CD practices.
• Supported internal reporting systems using Power BI, VBA, and SQL.
• Delivered backend features for enterprise clients in the financial and public sectors.