Real-time tracking
Built WebSocket-based vehicle tracking to surface live fleet activity without overwhelming the interface or rendering pipeline.
Project 01
All workElectric Vehicle Dashboard
A role-based dashboard for a large electric-vehicle ecosystem, combining real-time tracking, interactive visualization, and operational workflows.
Role
Senior React.js Developer
Stack
React.js · TypeScript · Redux · Jest · WebSocket · Stripe · Deck.gl
EV
Fleet Command
Operations center
Network
220+ cities
Vehicles
78,240
Live
V1-OMEGA
ES-5
D1-DELTA
EV-720
Selected vehicle
EV-482184%
Live network
Energy consumption
18.42 MWh
−8.4%Network response
42ms
WebSocket telemetry latency
System health
99
Excellent
All systems operational
Overview
A real-time fleet intelligence platform designed to make thousands of connected vehicles understandable at a glance.
What I worked on
Interactive analytics
Created data-heavy analytical interfaces while optimizing rendering strategies for a large and continuously changing dataset.
Scale
Designed the frontend architecture around a platform serving 220+ cities and approximately 78K users.
Performance
Focused on predictable rendering, efficient updates, and responsive interaction across complex dashboard views.