Lead AI Agent Software Engineer focused on real-time, performance-critical systems across AI, networking, embedded devices, and production infrastructure.
My background sits at the intersection of software and the physical world:
• Currently leading architecture and production hardening of a real-time multimodal AI agent platform — streaming STT → LLM/tools → TTS, WebRTC, asyncio, long-lived state/memory, retrieval, observability, failure handling, cancellation, backpressure, and latency-sensitive execution.
• Previously built real-time networking software for aerial systems using Rust, Linux, eBPF/XDP and IEEE 802.1 TSN concepts, including reliability mechanisms where deterministic behavior and low fast-path overhead matter.
• Earlier developed C/C++ bare-metal and RTOS firmware for access-control/security and embedded/IoT devices — TCP/IP, UART/I2C/SPI, RS232/RS485, Modbus, secure device communication, UWB/BLE localization, sensors, relays and constrained hardware.
I’m most interested in difficult engineering problems where timing, reliability, networking, hardware constraints, and user-facing behavior meet: mission/performance-critical software, real-time systems, embedded/IoT, access control, UWB, distributed device systems, AI infrastructure, backend/platform engineering, and systems software.
I enjoy owning systems end-to-end — architecture, implementation, debugging, benchmarking, deployment, production incidents, and the less glamorous failure modes that only appear in real environments.
I’m looking for a strong engineering team tackling genuinely hard technical problems. Open to Lead/Senior Software, Systems, Embedded, Platform, Backend, Real-Time AI, or similarly hands-on engineering roles.
If you're building something where milliseconds, reliability, hardware, networks, or production correctness actually matter, I'd be very happy to talk.
Résumé / Portfolio: https://msakg.com GitHub: https://github.com/imsakg LinkedIn: https://linkedin.com/in/msakg Email: [email protected]
Lead AI Agent Software Engineer focused on real-time, performance-critical systems across AI, networking, embedded devices, and production infrastructure.
My background sits at the intersection of software and the physical world:
• Currently leading architecture and production hardening of a real-time multimodal AI agent platform — streaming STT → LLM/tools → TTS, WebRTC, asyncio, long-lived state/memory, retrieval, observability, failure handling, cancellation, backpressure, and latency-sensitive execution.
• Previously built real-time networking software for aerial systems using Rust, Linux, eBPF/XDP and IEEE 802.1 TSN concepts, including reliability mechanisms where deterministic behavior and low fast-path overhead matter.
• Earlier developed C/C++ bare-metal and RTOS firmware for access-control/security and embedded/IoT devices — TCP/IP, UART/I2C/SPI, RS232/RS485, Modbus, secure device communication, UWB/BLE localization, sensors, relays and constrained hardware.
I’m most interested in difficult engineering problems where timing, reliability, networking, hardware constraints, and user-facing behavior meet: mission/performance-critical software, real-time systems, embedded/IoT, access control, UWB, distributed device systems, AI infrastructure, backend/platform engineering, and systems software.
I enjoy owning systems end-to-end — architecture, implementation, debugging, benchmarking, deployment, production incidents, and the less glamorous failure modes that only appear in real environments.
I’m looking for a strong engineering team tackling genuinely hard technical problems. Open to Lead/Senior Software, Systems, Embedded, Platform, Backend, Real-Time AI, or similarly hands-on engineering roles.
If you're building something where milliseconds, reliability, hardware, networks, or production correctness actually matter, I'd be very happy to talk.