Senior Embedded Software Engineer with 15 years of experience in RTOS, memory optimization, and firmware performance tuning. Now bringing that "resource-constrained systems" mindset into quantum computing β exploring how hybrid quantum-classical systems can be deployed on real edge devices.
ARM Cortex-M/A Β· FreeRTOS Β· CAN/LIN/CAN-FD Β· AUTOSAR Β· UDS Diagnostics Β· ADAS/ECU
15 years spent working on resource-constrained, real-time critical systems β where every byte of memory and every cycle counts.
Quantum computers face a strikingly similar resource problem: qubits are expensive, unstable resources, QPU calls carry latency, and the classical control layer needs precise coordination β challenges that mirror what embedded software engineers deal with every day.
I'm currently exploring hybrid quantum-classical architectures, applying lessons from resource-constrained embedded systems to the classical control layer and edge deployment of quantum workloads.
- Qiskit_documentation β The documentation content home for https://quantum.cloud.ibm.com/docs
- PennyLaneAI_catalyst β JIT compiler for hybrid quantum programs in PennyLane, enabling efficient classical-quantum co-execution

