I'm currently working at WHIP as a software engineer.

My main areas of interest are:

• microservices, serverless and more in general software architectures
• containers and orchestrators
• automation and IaaC
• CI/CD

• Federated Machine Learning: L. Baresi, G. Quattrocchi and N. Rasi, "Open Challenges in Federated Machine Learning," in IEEE Internet Computing, 2022, doi: 10.1109/MIC.2022.3190552.

• Federated Machine Learning as a Self-Adaptive Problem - SelfAdaptive-FedML: L. Baresi, G. Quattrocchi and N. Rasi, "Federated Machine Learning as a Self-Adaptive Problem," in 2021 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 2021 pp. 41-47, doi: 10.1109/SEAMS51251.2021.00016.

• Resource Management for TensorFlow Inference - TensorFlow Adaptive resources control: L. Baresi, G. Quattrocchi, N. Rasi. 2021. “Resource Management for TensorFlow Inference”. 2021 International Conference on Service-Oriented Computing (ICSOC), doi: 10.1007/978-3-030-91431-8_15. This module implements the control theoretic solutions to manage the resources (CPUs and GPUs) in computing nodes (containers and VMs).

• VMBS: cloud performance benchmarking of Virtual Machines (VM)

• SlurmCluster: Ansible playbooks to setup a multinode cluster with Slurm MPI benchmarks HPC containers

• Containers Survey: a study of the most popular container implementations

• TLapse: WiFi Programmable Motorized Timelapse build on top of Wemos D1 Mini

• Pomodorino: a visual pomodoro timer built with ESP8266 and RGB LED

• Filterss: RSS reader with filtering and popularity features

• YouToMP3: convert any Youtube video into a Mp3 in a touch!

• HashtagsGeneratorBot: Telegram bot used to generate the most popular hashtags given a list of words

• GenM3U: GenM3U is a M3U playlist builder. It can be used to manage IPTV channels lists allowing you to easily create, check, import, export and share M3U playlist

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