Madusanka Premaratne
Research-backed

AI Privacy & Compliance Consulting

Design and implement query-time privacy frameworks and governance for LLM applications — semantic generalization, data minimization, and GDPR / EU AI Act compliant AI pipelines.

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Production-grade

Agentic AI & Retrieval Systems (Multi-Agent RAG & MCP)

Architect and deploy autonomous agentic systems and multi-agent RAG — from Model Context Protocol (MCP) server integration to production edge-first configurations.

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Custom-built

AI Search & Text Intelligence Consulting

Apply semantic generalization, embedding strategies, and NLP pipelines to solve real classification, extraction, and search problems — grounded in current research, not off-the-shelf demos.

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Privacy-first

On-Device & Data-Sovereign AI Consulting

Move inference off the cloud — design on-device agentic systems that preserve data sovereignty, reduce latency, and achieve inherent compliance. No third-party data exposure.

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Strategic

AI Strategy Consulting

Define your AI research agenda, evaluate model capabilities, and translate academic findings into product strategy. Research collaborations, manuscript preparation, and AI readiness assessments.

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End-to-end

Enterprise AI Integration & Multi-Agent Systems

Integrate LLM inference pipelines, MCP tool ecosystems, and multi-agent workflows into existing products — from API design and prompt engineering through evaluation, monitoring, and production deployment.

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