Massimo Gollo, PhD
About Me
Software Engineer and PhD in Distributed Systems, focused on Site Reliability Engineering and Application Performance Management. Passionate about building backend systems, managing cloud infrastructure, and automating everything in between.
My PhD at the University of Catania gave me a solid foundation in distributed systems theory, while industry roles let me apply that knowledge to real production problems.
Expertise: Kubernetes, OpenShift/OKD, Docker, Ansible, Helm, CI/CD, Kafka, Airflow. Currently exploring AI/LLM , fine-tuning models for domain-specific applications and deploying them at scale.
Skills
Languages
Infrastructure
Automation
Observability
Data
Experience
Software & AI Engineer
Jun 2021 - Nov 2025
Catania, Italy
- Developed microservice backends (Python, Golang) for IoT and mobile apps (WeeNet, Ruppu, YouSpeed)
- Managed Kubernetes deployments, GitLab CI/CD pipelines, and infrastructure with Prometheus monitoring
- COAT project (NGI Sargasso EU-funded): on-premise LLM inference with Ollama/vLLM, fine-tuned Qwen3 with Unsloth for privacy risk analysis in online agreements
Visiting PhD Researcher
Jan 2025 - Jul 2025
Palaiseau, France
- Built a Kubernetes Event Generator to simulate workloads, node failures, and scheduler configurations
- Research on distributed systems scheduling and resource management in cloud-native environments
Teaching Assistant
Sep 2022 - Feb 2025
Italy
- Object Oriented Programming: Conducted lab sessions on Java programming, assisted students with exercises and projects
- Distributed Systems and Big Data: Tutored students on distributed computing concepts and cluster technologies
Software Developer Intern
Sep 2020 - Feb 2021
Catania, Italy
- ASP.NET Core backend development
Education
PhD in Computer Engineering - Distributed Systems | University of Catania, Italy
Master's Degree in Computer Engineering | University of Catania, Italy
Thesis: Resource Allocation with Multiple Offloading Options in Cloud-Edge Scenarios
Bachelor's Degree in Computer Engineering | University of Catania, Italy
Thesis: Sentiment Analysis on Web Comments Using Azure Machine Learning
Activities
Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2025) | IEEE
Grifin Workshop on AI, Networks & Cybersecurity | Sorbonne University & LINCS
AI, Science & Society Conference | Institut Polytechnique de Paris
Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2024) | IEEE
VIII Mediterranean School of Complex Networks
Publications
- Quantifying Privacy Risk in Online Agreements with COAT: An LLM Approach - WETICE, 2025
- Latency-Constrained Overlay Networks for QoS Assurance in the Edge-Cloud Continuum - WETICE, 2025
- Improving QoS Management Using Associative Memory and Event-Driven Transaction History - Information, 2024
- An SLA-driven, AI-based QoS Manager for controlling application performance on Edge Cloud Continuum - WETICE, 2024