Francesco Fusco is a Senior Research Scientist and software engineer based in Zurich with 8+ years of experience building production-grade AI systems and scalable data platforms. At IBM he led architecture and tech efforts for efficient NLP, LLM alignment, large-scale embedding stores (>100M entries), and a 40k-news/day BI pipeline, yielding multiple conference papers and patents. His background spans kernel networking and high-speed packet processing (Red Hat, ntop.org) and GPU-accelerated indexing research at ETH Zurich, giving him deep expertise across systems, ML models, and high-throughput data engineering. He is a hands-on PyTorch contributor and internal patent evaluator, known for shipping interpretable recommenders and CPU-optimized model architectures like pNLP-Mixer. Unusually, his career blends low-level networking and storage performance work with cutting-edge model design, enabling practical, latency-aware AI solutions for real-world streaming data.
8 years of coding experience
4 years of employment as a software developer
Phd Indexing and compression of network measurement data, Phd Indexing and compression of network measurement data at The Swiss Federal Institute of Technology Zurich (ETH)
MSc Computer Science, MSc Computer Science at Universita' di Pisa
BSc Computer Science, BSc Computer Science at Università di Pisa
Adaptive screen brightness/temperature for Windows, Linux, FreeBSD
Contributions:34 releases, 591 commits, 8 PRs in 2 years 9 months
unixbacklightlinux-windowswindowsadaptive
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Francesco Fusco - Senior Research Scientist- AI Systems at IBM