As a technical leader on an early-stage robotics startup, I led a hardware and software team of 7 engineers, working directly with founders to define CE certification roadmap and future development strategy. I drove both hardware and software initiatives—ensuring technical rigor, regulatory compliance, and smooth deployments. I built comprehensive ROS2 packages, orchestrated ROS1 to ROS2 migration, designed remote operator dashboard, and established complete deployment infrastructure.
Collaborated on the CE-certification plan: drafted risk assessments, hazard analyses, and all required technical files (e.g. Declaration of Conformity, EMC reports).
Authored and maintained:
Managed the hardware engineering squad, driving design iterations from initial prototypes through field trials.
Planned and executed robot deployments, oversaw sensor calibration routines, and refined mechanical/electrical setups for reliability.
Established and updated inventory tracking and spare-part management processes to streamline repairs and maintenance.
Built comprehensive ROS2 packages including:
Orchestrated complete migration from ROS1 to ROS2, ensuring backward compatibility, minimal disruption, and modernization of the entire codebase while maintaining system stability.
Established complete deployment infrastructure using Ansible for automated setup on NVIDIA Jetson Xavier and Raspberry Pi platforms. Built automated calibration scripts for LiDAR and camera extrinsic parameters, bringing software to stable production state.
Designed and implemented remote operator dashboard architecture, enabling real-time monitoring, control, and diagnostics of robotic systems in the field.
Defined software development standards—covering code style, review processes, and module testing—to boost quality and maintainability.
Implemented Notion, Fibery, and Miro workspaces with custom workflows, automated notifications, and quality-control checkpoints.
Analyzed operator bottlenecks, guided task prioritization, and advised on process changes—significantly improving team throughput and maximizing feature delivery value.
Developed anomaly detection models on radar data streams, enabling early detection of system irregularities and potential failures.
Implemented RL models for navigation, enhancing autonomous capabilities and adaptive behavior in complex environments.
Conducted comprehensive FMEA (Failure Mode and Effects Analysis) and risk analysis for safety-critical systems, ensuring compliance with ISO 13482 standards.