Engineered outcomes.

Autonomous flight in subterranean, signal-degraded environments where traditional GPS is unavailable. The system needed real-time spatial mapping and collision avoidance on embedded edge hardware.

Custom SLAM (simultaneous localization and mapping) pipeline using LiDAR and optical flow sensor fusion. Inference models optimized and quantized to run locally on a Jetson-class SoC.

Millimeter-class precision in complete darkness. Survey times in compromised environments reduced by ~40% with zero human risk.

A logistics startup needed a high-performance native app for field operatives and a dispatcher dashboard, both under strict latency and connectivity constraints.

Monorepo with React Native + Next.js sharing core business logic. Real-time WebSocket sync and offline-first data layer for remote routes.

Dispatcher efficiency up ~60%. Zero data loss observed during field operations in low-connectivity zones.