Consultancy for software development and research-based delivery — edge AI, autonomy, and systems that perform outside the lab.
Mission focus
MODE
FIELD-READY
STACK
EDGE · RESEARCH
LAT
OPTIMIZED
STATUS
AVAILABLE
Services
Software that ships and research you can trust — engineered for latency, reliability, and real operating conditions.
Production-grade systems across embedded, backend, and analytics — built for latency, reliability, and real operating conditions.
Research that leaves the lab. We turn papers, prototypes, and experiments into measurable, deployable outcomes.
End-to-end autonomy stacks for UAV, robotics, and edge AI — from sensing and inference to control and monitoring.
Domains
Specialty zones across autonomy, perception, energy, and industrial intelligence.
Approach
A signal path from discovery to validation — research and software moving together.
Clarify constraints, success metrics, and the environment where the system must actually work.
Architect software and research paths together — simulation, models, and interfaces before code scales.
Implement with production discipline: measurable latency, fault handling, and field-ready interfaces.
Benchmark, document, and deliver — including research outputs your stakeholders can act on.
Selected work
Representative engagements spanning autonomy, edge AI, energy systems, and research publications.
Production-oriented edge stack: real-time inference, MQTT telemetry, and PX4 waypoint injection for disaster response.
Robust offboard communication-loss handling and MAVLink timeout strategy validated for flood-detection missions.
Cost-effective deep learning and time-series forecasting for utility grid theft detection — IEEE publication.
Full vehicle and battery models: regenerative braking, cell balancing, and drive-cycle optimization in Simulink.
About
Founder · Embedded Systems & Edge AI
Embedded software engineer focused on production-grade autonomous systems — edge AI inference, real-time UAV pipelines, and industrial data platforms. Integrating hardware, firmware, and ML into deployable systems with measurable latency and reliability outcomes.
Current
Lab Research Assistant — Research Centre on AI and Sustainable Development, National Chung Cheng University, Taiwan
Education
Contact
Share your brief, research goal, or system constraint. We’ll respond with a clear engagement path.
hello@edgefield.consulting