Auralink: Enterprise-Grade EV Charging Platform
302+ microservices, 31 AI models, built by 1 developer in 2 months
About the Client
A flagship internal project demonstrating AI-augmented development methodology—building what would traditionally require a 25-person team and $12M budget.
Size: 1 developer
The Challenge
Build an enterprise-scale autonomous EV charging infrastructure platform from scratch.
302+ cloud microservices orchestrating charging operations across distributed networks
56 edge computing services for real-time local intelligence with <50ms latency
31 AI/ML services including multi-agent reinforcement learning and physics-informed neural networks
Complete charger operating system in Rust with safety-critical certifications (ISO 15118-20, OCPP 2.0.1)
200+ partner integrations across energy grids, payment processors, and fleet management systems
Traditional development would require 25-30 engineers, 2-3 years, and $10-15M budget
Our Solution
Leveraged AI-augmented development to build an enterprise-scale platform with a 10-20x productivity multiplier.
A four-tier distributed architecture mirroring patterns from technology giants: Cloud (302 microservices) → Edge (56 services) → Agent (7 specialized AI agents) → ChargerOS (18 Rust crates). Every component production-ready with comprehensive testing, security hardening, and compliance certifications.
Implementation Phases
Architecture & Design
Designed production-grade four-tier distributed architecture with clear service boundaries, API contracts (OpenAPI, AsyncAPI), and infrastructure-as-code (Terraform, Kubernetes).
1 weekCloud Platform (AuralinkCloud)
Built 302+ Go microservices: charging operations, billing, fleet management, grid integration, analytics, and enterprise security platform with SIEM (100K+ events/sec).
3 weeksAI/ML Platform (AuralinkAI)
Implemented 31 AI services: CAMAC-DRA multi-agent RL (92% coordination success), hybrid demand forecasting (<5% MAE), physics-informed neural networks for battery SoC/SoH (±1.5% accuracy), and XAI for EU AI Act compliance.
2 weeksEdge & ChargerOS
Developed 56 edge services on embedded Linux with 72+ hours offline operation, plus complete Rust charger OS (18 crates) supporting CCS, CHAdeMO, NACS, and V2G bidirectional charging.
2 weeksTechnologies & Approaches
Results & Impact
Delivered a production-ready, enterprise-scale EV charging platform in 2 months—equivalent to what would traditionally require a 25-person team, 2-3 years, and $10-15M budget.
“Auralink demonstrates that the economics of software development have fundamentally shifted. What once required millions in capital and years of development can now be achieved by a skilled developer leveraging AI assistance. This is the methodology I now teach.”