Giulio M

R&D Robotics Engineer

Elettrocablaggi srl • Tiempo completo

Feb 2026 - Present • 6 mos

- Resident Champion within the JOiiNT Lab at Kilometro Rosso, bridging the gap between advanced academic research and industrial robotics integration. - Designed and implemented robust sim-to-real pipelines based on Reinforcement Learning, ensuring that complex control policies trained in simulation translate reliably to physical hardware. - Developed unit, integration, and end-to-end tests (SIL / HIL). - Engineered advanced perception and state estimation systems, applying combined filtering techniques (Butterworth and Kalman) for fast object detection, achieving a 50% improvement in high-frequency noise rejection. - Modernized the robotic software architecture, decoupling core logic from legacy middleware and leading the transition to a containerized DDS-based infrastructure for scalable real-time execution. Project Work: (2026-Present): Architected the control system and "AI Brain" for a complex autonomous robotic cell, solving advanced kinematic manipulation challenges (e.g., dynamic orientation decoupling) and geometric spatial reasoning. Tech Stack: Python, C++, PyTorch (RL), ROS, DDS, Docker, Computer Vision, 3D Simulation Tools.

Data & Systems Engineer – IoT Applications

Links Management and Technology SpA • Tiempo completo

Oct 2023 - Oct 2025 • 2 yrs

- Designed and maintained IoT back-end architectures using MQTT and Python, implementing robust validation pipelines and reducing alert noise through advanced filtering techniques. - Developed high-impact automation frameworks that accelerated deployment cycles by 900% and standardised configuration workflows across diverse client environments. - Built PostgreSQL staging and analytical layers, transforming large volumes of sensor and control data into actionable operational insights. Project Work: - Project 1: Engineered ETL pipelines and BI-ready data models for Italy’s national agricultural analytics platform. - Project 2: Automated migration of 2,000+ tables using custom Docker-based pipeline generators to produce Apache Hop workflows. - Project 3: Designed data models, MQTT/Redis orchestration layers, and later assumed full ownership of the cross-platform mobile app, implementing CI/CD after self-learning Flutter. Tech Stack: Python, NumPy, Pandas, MQTT, SQL/PostgreSQL, Redis, Docker, Linux.

Robotics Engineer

Alascom • Tiempo completo

Sep 2022 - Sep 2023 • 1 yr

- Developed real-time navigation, path-planning and autonomous control pipelines for mobile robots, extending ROS architectures in C++/Python and integrating perception modules for unstructured environments. - Engineered fleet-level mission planning, REST-based coordination systems and diagnostic dashboards, improving uptime and operational reliability across MiR robotic fleets. - Designed middleware enhancements achieving 99.9% communication reliability between PLC systems and high-level controllers. Project Work: - Husky UGV: Integrated perception stack (HikVision + custom recognition nodes), optimised ROS navigation and delivered <100ms perception-to-actuation latency for dynamic outdoor tasks. - Industrial Automation: Maintained C# middleware and developed a React/Node/GraphQL HMI syncing image parameters with PLCs. - MiR Fleet: Designed navigation behaviours, mission planning and multi-robot workflows for improved execution performance.