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, innovation & change, MBA, Business strategy, innovation & change 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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