Andreas Abati is an Applied AI Researcher and partner-focused technology leader with 11+ years of experience building scalable partner ecosystems, delivery capabilities, and AI-driven operational frameworks. He has a track record of transforming regional partner bases into self-sufficient, revenue-generating delivery communities and designing enablement formats—like flipped-classroom mentoring and bootcamps—that materially reduce time-to-competency. Combining deep technical roots in embedded Linux, enterprise infrastructure and presales with strategic MBA/MSc training, he architects GTM engines, dashboards, and predictive CRM/analytics that tie adoption, renewal readiness and risk into measurable outcomes. Currently building proprietary agentic AI, knowledge-graph and workforce-orchestration IP, he focuses on the under-the-hood inference and orchestration layers (prompt routing, fine-tuning, RLHF) that make AI-native workflows operational. Comfortable working across C-level stakeholders and cross-functional international teams, he blends hands-on R&D with programmatic governance to drive enterprise-scale transformation.
11 years of coding experience
12 years of employment as a software developer
MSc Strategic Management of Information Systems, MSc Strategic Management of Information Systems at Open University
MBA Business strategy, MBA Business strategy at The Open University
Configuration and SystemD files to run Quay-3.4+ on a single host
Contributions:5 reviews, 7 PRs, 18 pushes in 6 months
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