My Contributions

Telematics Data Processing Pipeline

• Designing and implementing a robust data processing pipeline to ingest, store, and analyze telematics data collected from vehicles in real-time.
• Developing APIs and microservices to handle the ingestion of raw telemetry data, parsing it into structured formats, and storing it in a scalable and fault-tolerant database which is MySQL.
• Implementing data validation and normalization processes to ensure data integrity and consistency across different types of vehicles and telemetry sources.

API Security and Access Control

• Implementing robust authentication and authorization mechanisms to secure access to Blackbox APIs and data resources
• Enforcing HTTPS encryption, input validation, and rate limiting to protect against common security threats such as injection attacks and data breaches
• JSON Web Tokens (JWT) for user authentication and role-based access control (RBAC) for fine-grained authorization.

Real-time Monitoring and Alerts

• Building real-time monitoring and alerting systems to provide instant insights into vehicle health, performance, and location.
• Implementing event-driven architecture using technologies like WebSockets or Server-Sent Events (SSE) to push real-time updates to client applications and dashboards.
• Developing alerting mechanisms based on predefined thresholds or anomaly detection algorithms to notify stakeholders of critical events such as accidents, engine faults, or unauthorized usage.

Geospatial Data Processing and Visualization

• Developing APIs to calculate and visualize metrics such as vehicle speed, distance traveled, fuel consumption, and route deviations on interactive maps.
• Integrating geospatial data processing tools and libraries to analyze vehicle movement, route optimization, and geo-fencing functionalities.
• Integrated a third party service (traccar) to render geospatial data efficiently and provide rich visualizations for monitoring vehicle activities and optimizing fleet operations.