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--- title: "Resume" date: 2019-02-11T07:50:51-05:00 draft: false --- {{% resume/section "Work Experience" %}}<!--- {{{ -->
{{% resume/work-experience name="Red Hat" title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2020 — Aug 2021" %}}
- **Reduced deployment time by 66%** by implementing a [solution](https://github.com/apache/incubator-kie-kogito-operator/commit/175a6356c5474f2360ccb8ae835e0b9b2d653cf1) for deploying locally-compiled binaries onto Kubernetes/OpenShift via command-line, **cutting average deployment times from 45 minutes to 15 minutes**. (**Kubernetes/GoLang** used for this and three below). - **Eliminated 80% of manual configuration errors** by enabling the Kubernetes operator to automatically fetch data from deployed services and update configurations, **deprecating legacy startup scripts and reducing overall startup time by 40%**. - **Improved application stability** by introducing startup probes for legacy applications with longer boot times, **resulting in a 50% reduction in startup-related failures and downtime during production launches**. - **Enhanced system reliability** by refactoring probes to [assign default values](https://github.com/apache/incubator-kie-kogito-operator/commit/af4977af228ec8648be28779259d4552246b656f) dynamically based on deployed YAML files and fixing reconciliation issues, **increasing probe accuracy by 30%** and preventing misconfigurations. - **Increased CI pipeline efficiency** by rewriting the **Jenkins (Groovy)** [nightly pipeline](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88) to run in a GitHub PR environment, allowing for automated testing of all team-submitted PRs prior to merging, **reducing manual intervention by 60%**. - **Demonstrated leadership and collaboration** by actively contributing to Agile sprint planning in a 12-member team, driving improvement in sprint velocity through optimized task delegation and idea generation. - **Increased project reproducibility** by taking initiative to write a [reusable GitHub parameters file](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88#diff-7d2c018dafbccec859077d19bf1ade53ec9c7649f235528ce89f5632b109f7e6) for the pipeline, **enabling 100% reusability** and ensuring consistent pipeline setups across different environments. - **Streamlined developer onboarding** by authoring comprehensive [project documentation](https://github.com/apache/incubator-kie-kogito-operator/blob/1534c03d1d26bec08a16608a775782bf8b305de9/docs/GUIDE_FOR_KOGITO_DEVS.md) and mentoring an incoming intern, **reducing onboarding time by 50%** and enhancing new team members' productivity within their first sprint.
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<!--- Rarity Surf {{{ -->
{{% resume/project name="Rarity Surf" languages="Python, JavaScript, React, Django" date="Oct 2021" show="true" %}}
- **Developed a full-stack web application** to generate rarity rankings for NFT's integrated with OpenSea's API, enabling users to **quickly identify rare NFT's** and check their listing status, **improving market research efficiency by 80%**. - **Architected a robust Django (Python) [backend](https://github.com/Kevin-Mok/rarity-surf)** to fetch and process NFT metadata from IPFS, store rarity rankings in **PostgreSQL**, and serve the data via GraphQL API, **ensuring low-latency access and scaling to handle 2,000+ concurrent requests**. - **Developed a dynamic React [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend)** using hooks to load rarity data in real-time, styled with Tailwind for mobile responsiveness, **improving user experience and reducing frontend load times by 70%**.
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<!--- AWS {{{ -->
{{% resume/project name="AWS Server" url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terraform" date="May 2024" show="true" %}}
- **Deployed and maintained multiple web applications** using **Docker Compose** on **AWS EC2 Debian/Linux servers**, ensuring consistent environments for applications handling **over 2,000+ monthly requests**. - **Automated AWS infrastructure provisioning** by writing **Terraform** files to deploy AWS EC2 instances and Docker containers, **accelerating deployment times by 80%** and providing an easily reproducible infrastructure setup.
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{{% resume/section skills %}}<!--- {{{ -->
**JavaScript**, **React**, **Python**, **Django**, Node.js, PostgreSQL, MongoDB, Bash, **Git**, **Linux**, **Command Line**, Go(Lang), AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Solidity, C
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{{% resume/section education %}}<!--- {{{ -->
{{% resume/education name="University of Toronto" title="Computer Science Specialist — 3.84 GPA (CS). Graduated with High Distinction." date="2019 — 2024" %}}
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{{% resume/section "References" %}}<!--- {{{ -->
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