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Ghislain CHENG

PROFILE

Ghislain Cheng

Ghislain Cheng contributed to the zama-ai/fhevm and zama-ai/kms repositories by engineering robust deployment and recovery workflows using Helm, Kubernetes, and YAML. Over four months, he enhanced smart contract deployment reliability by implementing idempotent Helm chart logic, post-deployment verification, and Kubernetes scheduling controls. He improved observability by reconfiguring service monitors for better metrics collection and streamlined deployment hygiene. Ghislain also addressed upgrade safety in zama-ai/kms by updating Helm chart hooks to ensure configuration consistency during installs and upgrades. His work on Helm-based PVC restoration from volume snapshots further strengthened data recovery, demonstrating depth in cloud infrastructure and DevOps practices.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

7Total
Bugs
1
Commits
7
Features
3
Lines of code
192
Activity Months4

Work History

April 2026

1 Commits • 1 Features

Apr 1, 2026

April 2026 (2026-04) monthly summary for zama-ai/fhevm focused on strengthening data recovery and deployment resiliency through Helm-managed PVC restoration from volume snapshots. Feature delivery completed with a single primary enhancement that enhances recovery capabilities for smart contract deployments. No major bug fixes reported this month.

October 2025

1 Commits

Oct 1, 2025

October 2025 monthly summary for zama-ai/kms: Delivered a bug fix to the KMS Core Helm Chart to support both pre-install and pre-upgrade hooks, ensuring kms-core configuration is applied during install and upgrades, with a chart version increment. This release improves reliability and upgrade safety for deployments.

June 2025

3 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for zama-ai/fhevm: Delivered significant Helm chart deployment enhancements for smart contracts, focusing on reliability, efficiency, and Kubernetes scheduling flexibility. Implemented idempotent deployment checks, optional post-deployment verification, and improved management of contract addresses. Added deployment controls to skip redeployments when the version already exists, reducing churn. Extended chart support with nodeSelector, tolerations, and affinity to improve scheduling and resilience across clusters.

February 2025

2 Commits • 1 Features

Feb 1, 2025

February 2025 (Month: 2025-02) focused on observability and reliability in the zama-ai/fhevm repository. Delivered KMS-service monitoring improvements for kms-core by updating the kms-service Helm chart: switch the service monitor from headless to ClusterIP for proper metrics collection, enable image tag relabeling, and bump the Helm chart version to reflect changes. No major bugs fixed this month; all changes enhanced metrics visibility and deployment reliability, contributing to faster incident detection and smoother releases. This work demonstrates strong Kubernetes, Helm, and Prometheus capabilities with direct business value by improving monitoring coverage and deployment hygiene.

Activity

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Quality Metrics

Correctness85.8%
Maintainability82.8%
Architecture82.8%
Performance74.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

ShellYAML

Technical Skills

Cloud InfrastructureDevOpsHelmHelm ChartsKubernetesSmart Contracts

Repositories Contributed To

2 repos

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

zama-ai/fhevm

Feb 2025 Apr 2026
3 Months active

Languages Used

YAMLShell

Technical Skills

DevOpsHelmKubernetesHelm ChartsSmart ContractsCloud Infrastructure

zama-ai/kms

Oct 2025 Oct 2025
1 Month active

Languages Used

YAML

Technical Skills

HelmKubernetes