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Marco Munizaga

PROFILE

Marco Munizaga

Marco Polo contributed to core infrastructure projects by focusing on reliability, memory efficiency, and workflow improvements. In prysmaticlabs/prysm, he optimized memory usage for KZG proofs by correcting slice allocation, reducing overhead during proof computation. For ipfs/boxo and SagerNet/quic-go, he addressed resource leaks and improved garbage collection by refining stream and buffer cleanup logic in Go, enhancing system stability. In ipfs/kubo, he resolved a daemon IP address handling bug and updated dependencies to support future networking features. His work on libp2p/test-plans streamlined CI/CD pipelines and improved Python-based interop testing, demonstrating depth in Go, Python, and resource management.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

7Total
Bugs
4
Commits
7
Features
2
Lines of code
459
Activity Months4

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 2025: Delivered a memory-usage optimization for KZG proofs within ComputeCellsAndProofsFromStructured in prysmaticlabs/prysm. The change corrects the preallocated slice size for proofs, reducing over-allocation from 48x the needed size to the exact size, and includes a changelog entry documenting the optimization. This work improves runtime memory footprint and scalability under load.

September 2025

3 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary for libp2p/test-plans focusing on de-risking release and improving interop workflows. Delivered concrete changes to unblock release and tighten interop testing quality; prepared the ground for faster iteration in CI/CD pipelines.

February 2025

1 Commits

Feb 1, 2025

February 2025: Maintained and stabilized ipfs/kubo through a critical daemon IP address handling bug fix and essential dependency updates, with emphasis on reliability and readiness for future features.

December 2024

2 Commits

Dec 1, 2024

December 2024: Focused bug fixes across two repositories to harden resource management and memory stability, complemented by regression tests to verify critical cleanup paths. These changes reduce memory leaks, improve GC efficiency, and enhance overall system reliability.

Activity

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Quality Metrics

Correctness90.0%
Maintainability88.6%
Architecture85.8%
Performance84.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

GoPythonShell

Technical Skills

CI/CDCode FormattingConcurrencyDependency ManagementGoGo ModulesMemory ManagementNetwork ProgrammingPerformance OptimizationPythonResource ManagementScriptingShell ScriptingTesting

Repositories Contributed To

5 repos

Overview of all repositories you've contributed to across your timeline

libp2p/test-plans

Sep 2025 Sep 2025
1 Month active

Languages Used

PythonShell

Technical Skills

CI/CDCode FormattingPythonScriptingShell ScriptingTesting

ipfs/boxo

Dec 2024 Dec 2024
1 Month active

Languages Used

Go

Technical Skills

GoNetwork ProgrammingResource Management

SagerNet/quic-go

Dec 2024 Dec 2024
1 Month active

Languages Used

Go

Technical Skills

ConcurrencyNetwork ProgrammingTesting

ipfs/kubo

Feb 2025 Feb 2025
1 Month active

Languages Used

Go

Technical Skills

Dependency ManagementGo Modules

prysmaticlabs/prysm

Oct 2025 Oct 2025
1 Month active

Languages Used

Go

Technical Skills

Memory ManagementPerformance Optimization

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