SYSTEM ARCHIVE // AGENT ENDPOINT

Vinay Mendole

AI/ML Engineer & Systems Developer at National Institute of Technology Delhi. Specialized in Reinforcement Learning, NLP architectures, and full-stack systems.

// MACHINE-READABLE ENDPOINTS:
• Raw Schema: /.well-known/ai-agent.json
• AI Markdown: /?ai=true
• RSS Syndication: /rss (Pending)
• GitHub: github.com/topspeed69
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SPECIFICATION SHEET // REF-04
FIRST COMMIT: 2024-12-10·TAG: v1.0.4 · STABLE

FuelEU Maritime Compliance: Clean Architecture Regulatory Engine

Clean Architecture Regulatory Engine

¶ 01Context & Design Rationale

“A reliable system is designed not around hypothetical optimal conditions, but around deterministic resilience under resource pressure.”

Full-stack FuelEU Maritime compliance platform built on Hexagonal Architecture. The backend fully decouples domain entities and use cases from framework and database adapters, with Prisma + PostgreSQL as the outbound adapter. Features include GHG intensity computation, compliance balance banking, penalty calculation, route comparison, and multi-vessel pooling. The React frontend mirrors the same clean-architecture split across routes, comparisons, banking, and pooling pages. Engineered with strict architectural boundaries, deterministic memory models, and zero extraneous runtime dependencies.

¶ 02Architectural Pipeline

SUBSYSTEM RUNTIME
INGESTION PHASE
Protocol Parser
Zero-Copy Frame
→
TRANSFORMATION
Core Logic Unit
Deterministic Arena
→
PERSISTENCE
Storage / State Layer
Atomic Append