- **Reduced deployment time by 66%** by implementing a
- **Provided Tier 1 and Tier 2 support**, resolving
[solution](https://github.com/apache/incubator-kie-kogito-operator/commit/175a6356c5474f2360ccb8ae835e0b9b2d653cf1) for deploying locally-compiled binaries onto
user-reported issues with CI/CD pipelines and Kubernetes
Kubernetes/OpenShift via command-line, **cutting average
environments, resulting in a **40% faster average response
deployment times from 45 minutes to 15 minutes**.
time**.
(**Kubernetes/GoLang** used for this and three below).
- **Authored clear, user-friendly documentation** that
- **Eliminated 80% of manual configuration errors** by enabling
translated complex technical processes into
the Kubernetes operator to automatically fetch data from
step-by-step guides, **accelerating onboarding by
deployed services and update configurations, **deprecating
50%** and enabling non-technical stakeholders to
legacy startup scripts and reducing overall startup time
self-serve.
by 40%**.
- **Demonstrated leadership and collaboration** by actively
- **Improved application stability** by introducing startup
contributing to **Agile** sprint planning in a 12-member team,
probes for legacy applications with longer boot times,
driving improvement in sprint velocity through
**resulting in a 50% reduction in startup-related failures
optimized task delegation and idea generation.
and downtime during production launches**.
- **Collaborated with QA and DevOps teams** to document
- **Enhanced system reliability** by refactoring probes to
root causes of startup failures in legacy systems,
[assign default values](https://github.com/apache/incubator-kie-kogito-operator/commit/af4977af228ec8648be28779259d4552246b656f) dynamically based on deployed YAML
implementing dynamic probes that **cut production
files and fixing reconciliation issues, **increasing probe accuracy by 30%** and preventing misconfigurations.
launch issues by 50%**.
- **Increased CI pipeline efficiency** by rewriting the
- **Diagnosed and resolved 80% of configuration
**Jenkins (Groovy)** [nightly pipeline](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88) to run in a GitHub PR
errors** in Kubernetes deployments by automating data
environment, allowing for automated testing of all
fetching and validation, **reducing system downtime
team-submitted PRs prior to merging, **reducing manual
by 40%** and improving reliability for end-users.
intervention by 60%**.
- **Reduced deployment-related support tickets by 66%**
- **Increased project reproducibility** by taking initiative to
by developing a CLI tool to automate Kubernetes
write a [reusable GitHub parameters file](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88#diff-7d2c018dafbccec859077d19bf1ade53ec9c7649f235528ce89f5632b109f7e6) for the pipeline,
binary deployments, with documented troubleshooting
**enabling 100% reusability** and ensuring consistent pipeline
procedures that cut resolution time from 45 to 15
setups across different environments.
minutes.
- **Streamlined developer onboarding** by authoring
- **Decreased configuration error escalations by 30%**
comprehensive [project documentation](https://github.com/apache/incubator-kie-kogito-operator/blob/1534c03d1d26bec08a16608a775782bf8b305de9/docs/GUIDE_FOR_KOGITO_DEVS.md) and mentoring an
through dynamic probe defaults and created knowledge
incoming intern, **reducing onboarding time by 50%** and
base articles enabling Tier 1 support to resolve most
enhancing new team members' productivity within their
- **Provided direct user support** for a live NFT analytics
platform, resolving front-end filtering bugs and API
integration issues in real-time.
- **Developed a full-stack web application with PostgreSQL database** to analyze NFT rarity rankings, increasing market research efficiency by 80%.
- **Translated user requests into technical features**, implementing real-time PostgreSQL-powered filters that improved usability for non-technical traders.
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