United Kingdom

Back-end

Full stack

AI/ML Engineering

Generative AI

Tokyo Institute of Technology

Politecnico di Milano

Dario Cavalli

Software Engineer

Communication

Problem-solving

Critical-thinking

Analytical skills

AI/ML

Time management

GitHub

JavaScript

Python

React

- Building next generation of LLM
- LLM-based multi agent systems for autonomous diagnosis of server repairs
- Large scale software for datacenter optimization and automation

Research Intern and then assistant working on multimodal data processing and perception stack for autonomous driving Maserati:
- Designed Python and C++ data pipelines for multi‑sensor data collection and processing, deployed via Docker and ROS2.
- Research and development of real‑time algorithms for sensors fusion, object tracking and classification on robotics applications (AV and AI agents).
- Optimized performance for multi-GPU inference and data processing workflows in C++, reducing end-to-end pipeline latency by 15%
- Master's thesis research focused on the development of a camera and LiDAR-based perception system for an autonomous driving car (Maserati MC20 Cielo).
- Developed real‑time camera–LiDAR segmentation and bird’s‑eye view algorithm, achieving 75% mIoU at < 10 FPS, and 76% mIoU on nuScenes

Worked as a Software Engineer consultant, delivering end-to-end solutions with a primary focus on backend development and distributed system, supporting frontend implementation. Partnered directly with clients to translate business requirements into scalable, production-ready code.

Dario Cavalli🇬🇧

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