Looking for a job

Luca Rizzo

@lucarizzo

I build high-performance retrieval systems and scalable software using advanced algorithms, Rust, and distributed systems.

Italy

Message

What I'm looking for

I'm looking to optimize system scalability and performance through advanced algorithmic design, particularly across distributed systems, high-performance computing, and blockchain.

I've contributed to Tuskanny's learned sparse retrieval research, building custom Rust compression layouts in Vectorium for SIMD-accelerated dot-product calculations.

I designed redundancy-aware indexing to reduce learned sparse embedding memory use and benchmarked encoders in the Seismic AKNN searcher at large scale. I also co-authored a learned sparse retrieval index paper accepted in ICDE 2027.

Previously at Akeron, I architected an Angular and NgRx application, migrated legacy Vaadin functionality, and built SSO security, RabbitMQ notifications, DocuSign integration, and high-performance data imports with Java and Spring Boot.

Experience

Work history, roles, and key accomplishments

Software Engineering and Information Retrieval Contributor

Tuskanny

Nov 2025 - Jun 2026 (7 months)

Built custom SIMD compression layouts in Rust for accelerated dot product calculations and designed advanced indexing to reduce memory footprint. Evaluated encoders in the Seismic AKNN searcher and co-authored a research paper under review for ICDE 2027.

Rust SIMD Compression Sparse Embeddings Information Retrieval Benchmarking Research

Full Stack Developer

Akeron

Sep 2022 - Jul 2024 (1 year 10 months)

Architected a scalable Angular + NgRx app, migrating from legacy Vaadin. Built SSO security, RabbitMQ notifications, DocuSign integration, and high-performance data imports, focusing on clean, maintainable code with TDD in an Agile team.

Angular NgRX TypeScript Spring Boot RabbitMQ SSO Docusign Test Driven Development Agile

Education

Degrees, certifications, and relevant coursework

University of Pisa

MSc, Computer Science

Grade: 110/110 Summa Cum Laude

MSc in Computer Science with curriculum ICT Solutions Architect, graduated in May 2026 with final grade 110/110 Summa Cum Laude. Thesis on efficient compression techniques for sparse embeddings.

University of Pisa

BSc, Computer Science

Grade: 110/110 Summa Cum Laude

BSc in Computer Science, graduated in 2022 with final grade 110/110 Summa Cum Laude. Thesis on implementing a dataloader for importing data into application databases.