Software for building and operating large-scale decentralized applications and robotic systems.Open-source components: - Bifrost: https://github.com/aperturerobotics/bifrost - ControllerBus: https://github.com/aperturerobotics/controllerbus - Magellan: https://github.com/rgraphql/magellan - SkiffOS: https://github.com/skiffos/skiffos - Streaming RPC: https://github.com/aperturerobotics/starpc

Created matchmaking, cloud edge websocket, game integration, and orchestration technologies used across FACEIT's services and live events. Built APIs to abstract interaction with existing systems at scale via. reverse engineering and distributed systems design. Designed and implemented core high-throughput systems using robust decentralized consensus protocols. Specializing in reverse engineering, systems engineering (Go language), web development, and cloud technologies (Kubernetes).

Applying vision navigation algorithms to a micro-quad MAV for demonstration of miniaturization of on-board localization, mapping, and navigation technologies for micro-robots. Worked on Mars Helicopter Scout "Ingenuity."

Applied containerized software strategies to embedded Linux. Investigated and developed dynamic realtime network traffic routing for real world environments. Developed a driver to transmit and receive standard TCP/UDP/IP network traffic over the air using inexpensive power-efficient radios at long range.

Wrote software to cross compile an embedded Linux operating system with container based components. Emphasis on reliability and system self-healing in flying robots.

Integrating visual landing software and advanced pose estimation software with the low level ARM linux computing board on the quadrotor. Restructuring software to allow greater mission-critical code stability, load balancing, and overall performance.

Ported computer vision algorithms to an embedded linux environment running on a Galaxy S4 processor.

Automated experiments to analyze low noise amplifiers for radio astronomy to determine their quality and predict performance in a cryogenic environment with machine learning.