Lawrence Iviani's Meaningful Experiences

selected highlights

Previous activity that shaped my skills and mindset

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Work montage: embedded boards, measurement, prototypes, lab setup
Harman — measurement module & partner integration
Harman measurement project
  • Owned the design and evolution of the measurement module used in production-facing workflows
  • Worked directly with an external partners (Dirac) to integrate and validate the end-to-end audio chain
  • Provided system-level support for integration: requirements alignment, debug strategy, and acceptance criteria across teams
Automotive — digital cockpit, SDV & audio system engineering
Automotive digital cockpit
  • System-level work across QNXSound, embedded platforms, and tuning constraints in cockpit environments
  • Digital cockpit / SDV exposure: integrating audio into multi-domain architectures and fast-moving platform roadmaps
  • Explicit work around virtualization plumbing (VirtIO) and audio interfaces in real product constraints
Tymphany — low-latency embedded audio platforms (Elk.OS collaboration)
Embedded audio platform
  • Built and demonstrated low-latency real-time audio pipelines on Cortex-A platforms
  • Bridged BSP realities, middleware services, and application-level control (profiling, stability, repeatable builds)
  • From concept to product direction: collaboration with Elk.OS for a hardware-agnostic, productizable real-time Linux audio OS
Cruise ship entertainment system — design & development
Cruise ship entertainment system
  • Designed the graphical user interface for a large-scale cruise ship entertainment system
  • Focused on clarity, robustness, and usability for non-technical operators in a live environment
  • Worked across system boundaries: GUI, audio routing, control logic, and on-site commissioning constraints
Thesis — LISA (open-source)
LISA thesis project
  • Developed at FZI Karlsruhe for collaborative robotics, adding a ROS-based speech interaction layer to a cobot system
  • LISA (Listen and Infer Sound Automata): an offline, privacy-first acoustic platform on Raspberry Pi for command-oriented speech interaction
  • System design focused on robustness (noise, DoA tracking) and modularity, using concurrent nodes (MQTT, Hermes) with ROS integration
  • Approached as a product: user needs analysis (VoC), Kano-style prioritization, and tooling to validate usefulness beyond a research prototype