Race tracks for FiveM
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Updated
Aug 28, 2026 - JSON
Race tracks for FiveM
Real-time fraud detection ML serving system. Python (XGBoost, ONNX export) + Go (HTTP server with request batching, LRU cache, atomic model hot-swap, A/B traffic split, drift detection). 71k RPS at p95 <6ms on k6 load test, zero errors across 7.8M requests.
Reference implementation of the onX commerce standard — full storefront, admin, AI playground, and REST API with all 12 onX operations
Analysis of Road Networks Based on Graph Theory - 2023 - University of Padua
🚀 SecureFace AI is an intelligent face authentication system that enables secure user registration and login using facial recognition technology. It integrates MediaPipe for face detection, InsightFace (Buffalo_SC) for high-accuracy facial embeddings, Flask for backend APIs, and MongoDB Atlas for secure data storage. The system verifies users by c
AI-generated, access-aware outdoor scavenger hunts — a geospatial quest prototype (Leaflet + React + TypeScript) over real Moab trail & land data.
Checkpoint flags for racing
Distributed notification platform with Kafka pipeline, ML routing (LightGBM/ONNX), RAG grounding (Weaviate), and LLM personalization (Gemini/Claude). Idempotent, resilient, observable.
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