Dario Longobardi is a software engineer and AI researcher based in Milan with 12 years of hands-on experience and a 16-year background in Linux-based development. He specializes in taking research-grade models into high-performance production—designing and pre-training Transformer LLMs, implementing SFT and alignment pipelines, and applying PEFT techniques like LoRA/QLoRA for domain adaptation. His work spans deep learning and computer vision (custom detection/segmentation networks focused on reducing false positives) and embedded/HPC inference optimization using ONNX Runtime, TensorRT and OpenVINO with INT8/FP16 quantization and pruning. Equally comfortable in C/C++ low-level system engineering, he builds multithreaded, real-time middleware and optimizes IPC and kernel/user-space performance. An active open-source practitioner, he treats his GitHub as his technical CV—contributions like a robust C++ TCP server/client showcase his ability to ship reliable, low-level networking and systems code alongside cutting-edge ML.
Contributions:11 commits, 5 PRs, 19 pushes in 5 years 3 months
Contributions summary:Dario contributed to the core functionality of a TCP server and client application. They made updates to the server and client code, including message handling, sending, and receiving functions. Additionally, the user addressed memory access issues and incorporated features such as client response with random server messages, and improved general functionality, demonstrating strong knowledge of low-level socket programming.
Contributions:21 commits, 15 pushes, 1 comment in 2 years 4 months
glsl
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