# Andrea Pinto

- **Email**: andrea.pinto.1@slu.edu
- **Location**: San Francisco, CA
- **Personal Website**: [andreapinto94.github.io](https://andreapinto94.github.io/)
- **LinkedIn**: [andreapinto1994](https://www.linkedin.com/in/andreapinto1994/)
- **GitHub**: [andreapinto94](https://github.com/andreapinto94)
- **Google Scholar**: [Andrea Pinto](https://scholar.google.com/citations?user=cM30-0YAAAAJ)

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## Profile

Site Reliability Engineer (SRE) at ByteDance specializing in Content Delivery Network (CDN) distributed systems performance optimization. Holds a Ph.D. in Computer Science from Saint Louis University with research focused on networking systems for efficient distributed machine learning.

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## Experience

### Site Reliability Engineer (SRE) - CDN Performance
**ByteDance / TikTok** (San Francisco, CA)
*Feb 2026 - Present*
- Optimize Content Delivery Network (CDN) distributed systems performance and edge routing infrastructure.
- Monitor large-scale platform performance, build automated tooling, and minimize network bottlenecks.

### CDN SRE Performance Evaluation Intern
**ByteDance** (San Francisco, CA)
*May 2025 - Aug 2025*
- Evaluated CDN platform performance with advanced machine learning techniques.
- Analyzed edge network metrics to identify optimizations that improve delivery speed and reduce operational costs.

### 5G Core System Intern
**IMDEA Networks** (Madrid, Spain)
*May 2022 - Aug 2022*
- Designed and implemented a microservices-oriented localization module compliant with 5G Core technical specifications.

### Cloud Engineer
**Ericsson R&D** (Italy)
*Jan 2021 - Jul 2021*
- Developed microservices-based architectures using Go, Docker, and Kubernetes.
- Programmed backend services with a focus on DevOps automation pipelines.

### IoT Research Intern
**Ericsson Research** (Helsinki, Finland)
*Feb 2020 - Aug 2020*
- Conducted research on IoT protocols for robotic communication, implementing real-time SDF and GraphQL schemas.

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## Education

### Ph.D. in Computer Science
**Saint Louis University** (St. Louis, MO, USA)
*Aug 2021 - May 2026*
- **Advisor**: Dr. Flavio Esposito
- **Dissertation**: *Architectures and Protocols for Orchestration of Distributed Learning Systems*
- **Research focus**: Joint compute and network resource orchestration systems for distributed machine learning training over multi-GPU and parameter server clusters.

### B.S. & M.S. in Computer Engineering
**University of Naples Federico II** (Naples, Italy)
*Graduated Oct 2020*
- **Grade**: 110/110 cum laude (with honors)

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## Publications

1. **Programmable In-Network Aggregation for Communication-Aware Federated Learning in 5G RANs**
   - *Authors*: Emilio Paolini, Andrea Pinto, Luca Valcarenghi, and Flavio Esposito
   - *Venue*: IEEE Transactions on Network and Service Management (TNSM), 2026

2. **Plebiscito: A Decentralized, Bandwidth-Aware Architecture for Distributed Learning Workloads**
   - *Authors*: Andrea Pinto, Stefano Galantino, Fulvio Risso, and Flavio Esposito
   - *Venue*: IFIP Networking, 2026
   - *Award*: Honorable Mention for Best Paper Award

3. **Privacy and efficiency of communications in federated split learning**
   - *Authors*: Z. Zhang, A. Pinto, V. Turina, F. Esposito, and I. Matta
   - *Venue*: IEEE Transactions on Big Data (TBD), 2023

4. **Hercules: An emulation-based framework for transport layer measurements over 5g wireless networks**
   - *Authors*: A. Pinto, A. Ashdown, T. Bin Hassan, H. Cheng, F. Esposito, L. Bonati, S. D'Oro, T. Melodia, and F. Restuccia
   - *Venue*: ACM WiNTECH, 2023

5. **Efficient distributed learning over lossy wireless networks**
   - *Authors*: E. Paolini, A. Pinto, L. Valcarenghi, N. Andriolli, L. Maggiani, and F. Esposito
   - *Venue*: IEEE CNSM, 2024

6. **Poster: Transport-Aware Resource Block Allocation in 5G Slicing**
   - *Authors*: A. Pinto, T. B. Hassan, F. Restuccia, and F. Esposito
   - *Venue*: IEEE NetSoft, 2024

7. **Experimenting with localization management functions in 5g core networks**
   - *Authors*: A. Pinto, G. Santaromita, C. Fiandrino, D. Giustiniano, and F. Esposito
   - *Venue*: IEEE NFV-SDN, 2022

8. **Balancing Energy Efficiency and Infrastructure Knowledge in Cloud-to-Edge Task Distribution Systems**
   - *Authors*: S. Galantino, A. Pinto, F. Esposito, A. Manzalini, and F. Risso
   - *Venue*: ACM MECC, 2024

9. **Optimizing Model Pruning in Decentralized Learning Networks with DFL-Trim**
   - *Authors*: A. Pinto, A. Masci, A. Sacco, G. Marchetto, and F. Esposito
   - *Venue*: IEEE NetSoft, 2025

10. **Mitigating De-authentication DoS Attacks in 802.11 via eBPF and XDP**
    - *Authors*: A. Sangiorgi, A. Pinto, R. Tourani, and F. Esposito
    - *Venue*: IEEE NetSoft, 2025

11. **Energy Consumption of Quantized Federated Learning in Optical-Wireless Networks**
    - *Authors*: E. Paolini, A. Pinto, F. Esposito, and L. Valcarenghi
    - *Venue*: IEEE ICTON, 2025

12. **MAESTRO: Supporting Real-Time Segmentation Networks on Surgical Systems via Edge Computing**
    - *Authors*: L. Guo, F. Fiorella, A. Pinto, A. Sacco, M. Mahmoud, and F. Esposito
    - *Venue*: MIDL, 2025

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## Technical Skills

- **Core Domains**: Site Reliability Engineering (SRE), Distributed Systems, Content Delivery Networks (CDN), Network Orchestration, Distributed Machine Learning, 5G Core Networks, Edge Computing.
- **Tools & Tech**: Kubernetes, Docker, Go, Python, eBPF, XDP, Git, Linux/Unix, CI/CD.
- **Languages**: Italian (Native), English (Fluent), Spanish (Conversational).