Andrea Pinto
CDN SRE @ ByteDance | PhD in Computer Science

Hi, I'm Andrea Pinto

I am a Site Reliability Engineer (SRE) at ByteDance, where I work on Content Delivery Network (CDN) distributed systems performance optimization. I recently defended my thesis and graduated with a Ph.D. in Computer Science from Saint Louis University.

My doctoral research was focused on networking systems for efficient distributed machine learning under the guidance of Dr. Flavio Esposito. Currently at ByteDance, I monitor platform performance and build automation to optimize the edge routing infrastructure and minimize network bottlenecks.

Before my current SRE role, I worked as a Cloud Engineer at Ericsson in Italy, focusing on microservices migrations. I completed internships with the CDN SRE Performance team at ByteDance, the 5G Core Systems group at IMDEA Networks in Madrid, and Ericsson Research in Helsinki. I received my M.S. and B.S. in Computer Engineering from the University of Naples, Federico II.

Andrea Pinto Profile Photo

Academic Impact

Research influence and citation metrics from Google Scholar.

#
Total Citations
125
h
h-index
3
i10
i10-index
2

Publications

Peer-reviewed papers and works.

Sort by:
12 Publications
All Publications

Privacy and efficiency of communications in federated split learning

Z. Zhang, A. Pinto, V. Turina, F. Esposito & I. Matta

IEEE Transactions on Big Data (TBD)

2023 84 Citations
🏆 Best Paper Award

Characterizing location management function performance in 5G core networks

A. Pinto, G. Santaromita, C. Fiandrino, D. Giustiniano, & F. Esposito

IEEE NFV-SDN

2022 23 Citations

Hercules: An emulation-based framework for transport layer measurements over 5g wireless networks

A. Pinto, A. Ashdown, T. Bin Hassan, H. Cheng, F. Esposito, L. Bonati, S. D'Oro, T. Melodia, & F. Restuccia

ACM WiNTECH

2023 5 Citations

Efficient distributed learning over lossy wireless networks

E. Paolini, A. Pinto, L. Valcarenghi, N. Andriolli, L. Maggiani, & F. Esposito

IEEE CNSM

2024 3 Citations

Poster: Transport-Aware Resource Block Allocation in 5G Slicing

A. Pinto, T. B. Hassan, F. Restuccia, & F. Esposito

IEEE NetSoft

2024 3 Citations

Experimenting with localization management functions in 5g core networks

A. Pinto, G. Santaromita, C. Fiandrino, D. Giustiniano, & F. Esposito

ACM MobiCom

2022 3 Citations

Balancing Energy Efficiency and Infrastructure Knowledge in Cloud-to-Edge Task Distribution Systems

S. Galantino, A. Pinto, F. Esposito, A. Manzalini, & F. Risso

ACM MECC

2024 2 Citations

Optimizing Model Pruning in Decentralized Learning Networks with DFL-Trim

A. Pinto, A. Masci, A. Sacco, G. Marchetto, & F. Esposito

IEEE NetSoft

2025 1 Citation

Mitigating De-authentication DoS Attacks in 802.11 via eBPF and XDP

A. Sangiorgi, A. Pinto, R. Tourani, & F. Esposito

IEEE NetSoft

2025 1 Citation

Plebiscito: A Decentralized, Bandwidth-Aware Architecture for Distributed Learning Workloads

A. Pinto, S. Galantino, F. Risso, & F. Esposito

IFIP Networking

2026

Energy Consumption of Quantized Federated Learning in Optical-Wireless Networks

E. Paolini, A. Pinto, F. Esposito, & L. Valcarenghi

IEEE ICTON

2025

MAESTRO: Supporting Real-Time Segmentation Networks on Surgical Systems via Edge Computing

L. Guo, F. Fiorella, A. Pinto, A. Sacco, M. Mahmoud, & F. Esposito

MIDL

2025

Professional Journey

Key milestones, academic degrees, relocations, and professional positions.

May 2026

Defended PhD & Graduated

Successfully defended the doctoral thesis titled "Networking Systems for Efficient Distributed Machine Learning" and graduated with a Ph.D. in Computer Science from Saint Louis University under the advisement of Dr. Flavio Esposito.

🎓 PhD Degree
Feb 2026

Full-time CDN SRE @ ByteDance

Appointed as a full-time Site Reliability Engineer (SRE) on Content Delivery Network (CDN) distributed systems performance optimization at ByteDance / TikTok. Focus on edge infrastructure monitoring, performance tuning, and automation.

💼 Full-Time Position
May 2025 - Aug 2025

CDN SRE Performance Evaluation Intern @ ByteDance

Evaluated CDN platform performance with advanced machine learning techniques, analyzing metrics and identifying edge network optimizations to improve delivery speed and reduce operational costs.

🔬 SRE Internship
Aug 2023 - May 2026

Doctoral Researcher @ Saint Louis University

Focused research on resource management systems for distributed machine learning training, maximizing resource utilization, and mitigating network bandwidth bottlenecks over multi-GPU and parameter server clusters.

📚 Research
May 2022 - Aug 2022

5G Core System Intern @ IMDEA Networks

Relocated to Madrid, Spain. Designed and implemented a microservices-oriented localization module compliant with 5G Core technical specifications.

🇪🇸 Madrid, Spain
Aug 2021

Relocated to USA & Started PhD

Moved from Italy to St. Louis, MO, USA, to start a Ph.D. in Computer Science at Saint Louis University, joining the research lab advised by Dr. Flavio Esposito.

✈️ Transatlantic Move
Jan 2021 - Jul 2021

Cloud Engineer @ Ericsson R&D

Developed microservices-based architectures using Go, Docker, and Kubernetes. Programmed backend services with a strong focus on DevOps automation pipelines.

💼 Industry Work
Feb 2020 - Aug 2020

IoT Research Intern @ Ericsson Research

Relocated to Helsinki, Finland. Conducted research on IoT protocols for robotic communication, implementing real-time SDF and GraphQL schemas.

🇫🇮 Helsinki, Finland
Oct 2020

B.S. & M.S. in Computer Engineering

Graduated with 110/110 cum laude from the University of Naples Federico II in Italy.

🎓 University Degree

Curiosities & Insights

Fun statistics and insights about my journey and background.

Lived In
4

Countries: 🇮🇹 🇫🇮 🇪🇸 🇺🇸

Companies
3

Ericsson, IMDEA, ByteDance

Total Relocations
4

Naples ➔ Helsinki ➔ Madrid ➔ USA

Languages
3

Italian, English, Spanish

System Scaling & Lifespan Curiosities

From working on robotic IoT data transmission in Helsinki to 5G core systems in Madrid, and now scaling performance at ByteDance/TikTok for Content Delivery Networks (CDN) with hundreds of millions of daily active users. In my academic life, I enjoy applying Machine Learning to network routing optimizations.

Get In Touch

Let's connect or discuss research opportunities.

Contact Information

Whether you want to discuss site reliability engineering, network systems research, or potential collaborations, feel free to drop a message.

Online Profiles & CV

Connect with me on social platforms, check out my code repositories, or view my professional curriculum vitae.