319 microservices, ~20 AI agents, built by 1 developer — proving AI-augmented development at enterprise scale
A flagship internal project demonstrating AI-augmented development methodology—building what would traditionally require a 25-person team and €12M budget.
Size: 1 developer
Build an enterprise-scale autonomous EV charging infrastructure platform from scratch.
319 cloud microservices orchestrating charging operations across distributed networks
56 edge computing services for real-time local intelligence with <50ms latency
~20 AI agents 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
Applied 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 (319 microservices) → Edge (56 services) → Agent (7 specialized AI agents) → ChargerOS (18 Rust crates). Every component production-ready with thorough testing, security hardening, and compliance certifications.
Designed production-grade four-tier distributed architecture with clear service boundaries, API contracts (OpenAPI, AsyncAPI), and infrastructure-as-code (Terraform, Kubernetes).
1 weekBuilt 319 Go microservices: charging operations, billing, fleet management, grid integration, analytics, and enterprise security platform with SIEM (100K+ events/sec).
3 weeksImplemented ~20 AI agents: 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 weeksDeveloped 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 weeksDelivered 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 exists for one reason: to prove that a single developer using AI-augmented methodology can build what traditionally requires a 25-person team and a seven-figure budget. This is not a demo — it is production-grade code with ISO certifications, and it is the same methodology I teach to engineering teams.”