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Real-Time Geospatial Telemetry
Deployment Metric & Performance
β‘ Real-time telemetry ingestion, automated anomaly detection
Data & Systems Pipeline
Async Streams β Cyclops Anomaly Model β Leaflet GIS β Docker
Year
2024
Tech & Systems Architecture
FastAPIPythonReactDockerLeafletCyclops AIVite
Systems Overview
Ozon is a high-availability telemetry processing and environmental intelligence platform that ingests, models, and visualizes air quality and meteorological indices in real time.
Key Engineering Highlights:
Key Engineering Highlights:
- π Real-Time Data Streaming: Resilient asynchronous ingestion pipeline polling Open-Meteo telemetry streams.
- π€ Cyclops AI Predictive Engine: Automated environmental anomaly detection and time-series air quality forecasting.
- πΊοΈ Dynamic Geospatial Mapping: Interactive, low-latency spatial rendering powered by Leaflet.js with geo-boundary heatmaps.
- π³ Containerized Microservices: Fully decoupled client-server architecture with Docker Compose orchestration.
Engineering Role & Execution
Lead Systems & Deployment Engineer
- β Architected asynchronous FastAPI telemetry ingestion service with proactive rate-limiting and fallback caching
- π Built reactive, responsive frontend dashboard in React + Vite delivering sub-100ms render cycles
- π€ Deployed Cyclops AI models for automated anomaly scoring and real-time environmental risk classification
- π³ Automated CI/CD container build pipeline for seamless zero-downtime deployment