NNEKAAMARTEY
NNEKA AMARTEY
Circular Economy Alchemist | Architect of Zero-Waste Intelligence Systems
I engineer self-sustaining material ecosystems that transform waste streams into regenerative resources—merging AI-powered sorting with blockchain-enabled material passports to achieve 98% landfill diversion while creating new revenue channels from "waste" materials.
Core Innovations
1. Smart Material Recovery
"Waste DNA" spectral analysis identifying 1,800+ material types in mixed streams
Robotic Disassembly Lines autonomously harvesting rare earth metals from e-waste
2. Closed-Loop System Design
Industrial Symbiosis Networks matching one company's byproducts to another's feedstocks
Packaging Reincarnation designing products for 7-lifecycle reuse with RFID tracking
3. Behavioral Optimization
Gamified Collection boosting recycling rates through real-time community leaderboards
Dynamic Pricing Engines adjusting waste fees based on contamination levels
Industry Impact
2025 Ellen MacArthur Circular Economy Award
Diverted 420,000 tons from landfills across 12 megacities
Lead Consultant for World Economic Forum's Scale360° Initiative
"True waste management doesn't clean up messes—it designs systems where messes can't exist."
📅 Today is Friday, April 11, 2025 (3/14 Lunar Calendar) – optimal conditions for city-wide composting drive.
♻️ [Live Material Flow] | 🤖 [API Integration] | 📊 [Case Studies]
Technical Distinctions
Proprietary "CircularOS" resource mapping platform
Quantum sensors for nano-plastic detection
Blockchain-based waste credit trading
Available for municipalities, manufacturing clusters, and sustainable packaging innovators.
Specialized Solutions
Disaster Debris Upcycling
Textile-to-Textile Regeneration
Space Station Waste-to-Food Systems
Need custom material passports or zero-waste certification? Let's redesign consumption.




Waste management optimization
AI-Powered Analysis
Utilizing GPT-4 for real-time waste classification and routing systems.
Data-Driven Insights
Creating comprehensive databases linking waste characteristics with effective treatment methods.