Software Engineer at INVOLI

Built and managed Docker deployments and developed Python scripts to fetch and parse router logs and transmit metrics into Grafana via Prometheus exporters, enabling real-time observability into uptime, signal strength, and firmware status across receiver network, detecting 100% of events. Created internal tools to debug receiver connectivity using OpenVPN, OpenWRT, and logs fetched from cloud dashboards, improving mean-time-to-resolution (MTTR) for site issues by 27% across U.S. deployments. Contributed to backend services for drone path prediction and MLAT integration, improving BVLOS geolocation accuracy by 18% and reducing false positives in compliance logs. Led U.S.-based operations for the world’s largest commercial drone operator, providing direct troubleshooting, uptime insights, and remote firmware diagnostics for 90+ airspace surveillance receivers deployed across high-traffic corridors.

Software Developer at DLAR Labs

Designed and implemented scalable backend services and data pipelines in Python and C++, enabling ingestion, transformation, and analysis of high-frequency data streams for downstream analytics. Built asynchronous, distributed producer–consumer systems using Flask APIs, improving throughput and reducing end-to-end processing latency by 55%. Implemented and benchmarked algorithmic routing and decision logic over graph-based data structures, improving execution efficiency by 98% across simulated workloads.