Manuel Olguín Muñoz

Professional Summary

Work Experience

Systems Engineer | Cloudflare Inc., US | 11/2022 - Present

• Led the expansion of Cloudflare’s Orpheus product, a system that has saved over 130 billion requests and prevented 50+ incidents, to internal and inter-datacenter traffic.
• Open-sourced ecdysis, Cloudflare’s Rust library for graceful service restarts, in production since 2021 across 330+ datacenters and adopted by multiple Cloudflare teams. Migrated production services and authored its public engineering blog post.
• Owned diagnosis-to-rollout of a Go-based network-health monitoring improvement that would have prevented ~70,000 customer-visible errors.
• Owned Post-Quantum Cryptography and FIPS 140-3 work in a principal dataplane product; led remediation of ~70 vulnerabilities for FedRAMP High compliance.
• Designed a Go-based analytics-service caching strategy that improved response time by 50%, and migrated key control-plane services to High Availability and Disaster Recovery clusters.
• Hardened a principal Rust dataplane service with file-descriptor accounting, admission control, and load shedding; cut integration-test time by ~50%.
• Led the team’s adoption of LLM-assisted development: authored practical guidance and implemented organization-mandated AI code review in CI.
• Mentored engineers from onboarding to owning core features and systems. Actively participated in hiring processes for roles across the company.

Doctoral Researcher | KTH Royal Institute of Technology | 09/2017 - 10/2022

• Designed and built Sweden’s first reprogrammable and reconfigurable Edge Computing testbed (ExPECA); open-sourced its software stack and co-authored its ACM/IEEE SEC 2023 publication.
• Published peer-reviewed papers with Carnegie Mellon University’s Elijah Group, including first-author work in PLOS ONE and IEEE Access. See the full list.

Lecturer (Remote) | Universidad de Chile, Chile | 08/2021 - 12/2021

• Co-lectured TCP/IP fundamentals to 81 computer-science undergraduates.

Research Engineer | NIC Chile Research Labs, Chile | 08/2015 - 08/2017

• Developed an environment for the simulation of Intelligent Transportation Systems in C++.

Technical Skills

• Programming languages: Rust (~4 yoe) | Go (~4 yoe) | Python | Java | C++
• AI-assisted engineering: LLM-assisted development | Agent prompt and skill design
• Databases: PostgreSQL (~4 yoe) | ClickHouse (~4 yoe)
• Infrastructure: Linux (~13 yoe) | Git (~13 yoe) | Docker (~8 yoe) | Kubernetes (~4 yoe)
• Observability: Prometheus (~4 yoe) | Grafana | Kibana/Elasticsearch
• Data & ML: Pandas | NumPy/SciPy | Jupyter | Machine learning | Neural Networks

Education

Ph.D. in Electrical Engineering | KTH Royal Institute of Technology | Graduated 06/2023

• Dissertation: An Emulation-Based Performance Evaluation Methodology for Edge Computing and Latency Sensitive Applications

Civil Engineer in Computing | Universidad de Chile, Chile | Graduated 08/2017

• “Ingeniero Civil en Computación”, professional degree equivalent to an M.Sc.Eng.

B.Sc.Eng. in Computing | Universidad de Chile, Chile | Graduated 12/2014

Miscellaneous

• Dual citizen of Chile and Sweden.
• Fluent in Spanish, Swedish, and English. Conversational in Portuguese.