Piero Cornice

Technical owner of EMEA roadmap and delivery, leading multi-agent AI systems for healthcare data extraction and a private health assistant. Reduced manual extraction times from hours to minutes per patient.

Technical ownership across engineering and product, building scalable real-time data pipelines for IoT sensor data to infer behavioral patterns. Led model training and serving, and collaborated closely with CTO and data scientists.

Led a cross-functional team of ML researchers and engineers, evolving the real-time data pipeline into an internal open platform. Improved diagnostics, scalability, automation, and cost efficiency through MLOps.

Halved pipeline costs and reduced latency 10x through batch processing and parallelization. Developed NLP models for topic and entity recognition with focus on real-time inference performance.

Designed and implemented the YouView API for authentication and authorization, and prototyped a personalisation engine using machine learning. Collaborated with R&D on enhancing customer experience.

Owned the sub-system for collecting and reporting usage metrics and events, improving data quality and reliability. Designed and implemented internal tools for recruitment and data analysis.

Led a team of seven engineers in designing and implementing C++ middleware for Amazon Prime Video on consoles and embedded devices. Shipped frameworks for PlayStation 3 and Amazon Fire TV.

Conducted research on Delay-Tolerant Networks, improving DTNPerf software used at NASA JPL and on the International Space Station. Mentored graduate students and contributed to six peer-reviewed papers.

Developed applications, libraries, and complex user interfaces on Android devices. Designed and developed simulation and messaging frameworks for automated UI tests and real-time system events.

Led embedded software architecture for a real-time wireless media decoder. Developed a robust iOS video player for unreliable wireless multicast RTP streaming and evaluated early chipsets.

Designed and implemented set-top box configuration flow and UI, wireless video decoders, and a diagnostic iPhone app. Developed a portable library for H.264 video streaming compliant with RFC 3984 and RFC 2326.

Developed on-board travel information systems for Trenitalia, including real-time audio streaming across train coaches and automatic configuration of multicast power-line networks.

Bachelor thesis on Study of Delay-Tolerant Network Architecture. Created DTNPerf application (iperf for DTNs).

Maturità Scientifica, Scientific Lyceum degree. Studied Maths, Physics, Biology, Chemistry, Programming, Astronomy, Literature, Art History, History, Philosophy.

Grade:

Activities and societies: Concurrent collaboration with the University's research group on Delay-Tolerant Networks, contributing to award-winning papers.

Completed all coursework except two exams. Dropped out to align with professional goals, working as a Software Engineer abroad.