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.
Contributions:8 releases, 235 commits, 222 pushes in 1 year 4 months
linuxx11adaptivealsbacklight-brightness
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.