Lead Machine Learning Engineer at InReach Ventures
England, United Kingdom
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Summary
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Senior
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Top School
Moreno Bonaventura is a Lead Machine Learning Engineer based in England with 11 years' experience bridging rigorous academic research and product-grade ML solutions. He holds a PhD in Time Varying Complex Networks from Queen Mary University of London and a strong theoretical physics background, which he applies to building data-driven investment tools as co-founder and former Chief Science Officer of Startup Network. At Elliptic and now InReach Ventures he has led data science and ML efforts tackling complex graph and time-series problems in production. He is the author of NetworkL, a Python package for efficient longitudinal network analysis, reflecting his specialization in large-scale time-varying graphs. Outside work he channels competitive drive into water polo and sailing, having won the Sicilian Sailing Championship in 2011.
11 years of coding experience
7 years of employment as a software developer
100/100, 100/100 at Liceo Scientifico
Doctor of Philosophy (PhD), Time Varying Complex Networks, Doctor of Philosophy (PhD), Time Varying Complex Networks at Queen Mary University of London
Bachelor's degree, Theoretical and Mathematical Physics, 110/110 with honors, Bachelor's degree, Theoretical and Mathematical Physics, 110/110 with honors at Università di Catania
The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
Contributions:1 PR, 3 pushes, 1 branch in 5 months
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Moreno Bonaventura - Lead Machine Learning Engineer at InReach Ventures