Building an EV Charging Software Ecosystem in 2 Months

About the Client

A flagship internal project demonstrating AI-augmented development methodology, built solo.

Size: 1 developer

The Challenge

Build an enterprise-scale autonomous EV charging infrastructure platform from scratch.

• 400+ 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

My Solution

Applied AI-augmented development to build an enterprise-scale platform as a solo effort.

A four-tier distributed architecture mirroring patterns from technology giants: Cloud (400+ microservices) → Edge (56 services) → Agent (~20 specialized AI agents) → ChargerOS (18 Rust crates). Every component engineered to production standards with comprehensive testing, security hardening, and protocol conformance.

Implementation Phases

• 1 weekArchitecture & DesignDesigned production-grade four-tier distributed architecture with clear service boundaries, API contracts (OpenAPI, AsyncAPI), and infrastructure-as-code (Terraform, Kubernetes).
• 3 weeksCloud Platform (AuralinkCloud)Built 400+ Go microservices: charging operations, billing, fleet management, grid integration, analytics, and enterprise security platform with SIEM.
• 2 weeksAI/ML Platform (AuralinkAI)Implemented ~20 AI agents: CAMAC-DRA multi-agent RL, hybrid demand forecasting, physics-informed neural networks for battery SoC/SoH, and XAI for EU AI Act compliance.
• 2 weeksEdge & ChargerOSDeveloped 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.

Go 1.23+ · Rust · Python · TypeScript · Flutter · PostgreSQL (14 instances) · TimescaleDB · NATS JetStream · Kafka · Kong Gateway · Kubernetes · Terraform · OCPP 2.0.1 · ISO 15118-20 · Hyperledger Fabric

Results & Impact

Built an enterprise-scale EV charging reference platform in 2 months as a solo effort. The headline figures render live from the evidence register — see the classification above.

• ~1.7 million lines of code
• 400+ microservices
• ~20 AI agents
• 78% autonomous incident resolution

Services Delivered

AI-Augmented Development · Distributed Systems Architecture · AI/ML Engineering · Edge Computing · Safety-Critical Systems

Want Results Like These?

Every engagement starts with a 30-minute diagnosis. Describe your situation, and I will tell you — honestly — whether I can help and how fast.