5.7 KiB
| title | date | draft |
|---|---|---|
| Resume | 2019-02-11T07:50:51-05:00 | 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 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 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 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 for the pipeline, enabling 100% reusability and ensuring consistent pipeline setups across different environments.
- Streamlined developer onboarding by authoring comprehensive project documentation and mentoring an incoming intern, reducing onboarding time by 50% and enhancing new team members' productivity within their first sprint.
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{{% resume/section projects %}}
{{% resume/project name="Rarity Surf"
languages="Python, JavaScript, React, Django"
date="Oct 2021" show="true" %}}
- Web app to give rarity rankings to NFT's and check which are listed on the OpenSea marketplace using their API.
- Reverse engineered the ranking algorithm to match the leading rarity ranking site's rankings (scraped using Selenium) with a discrepancy of <0.25%.
- Used app to frontrun purchases of top 0.5% rarity NFT's against competing buyers.
- Wrote Django (Python) backend to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
- Wrote React frontend with hooks to dynamically load rarity data. Styled with Tailwind.
{{% /resume/project %}}
{{% resume/project name="AWS Server" url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terraform" date="May 2024" show="true" %}}
- Deployed various web apps using Docker (Compose) on an AWS EC2 Debian/Linux server.
- Created Kubernetes manifest files to quickly recreate my server setup with persistent storage/restarts and open ports.
- Created Terraform files to deploy an AWS EC2 instance and Docker containers.
- Used Amazon Route 53's DNS and NGINX to route subdomains to each web application.
- Wrote a JavaScript server script and systemd service/timer to display the uptime of my pages every hour.
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{{% resume/section skills %}}
AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Go(Lang), Bash, Linux, JavaScript, React, Python, Django, Node.js, PostgreSQL, MongoDB, Solidity, C, Git, Command Line
{{% /resume/section %}}
{{% resume/section education %}}
{{% resume/education name="University of Toronto" title="Computer Science Specialist — 3.84 GPA (CS). Graduated with High Distinction." date="2019 — 2024" %}}
{{% /resume/section %}}
{{% resume/section "References" %}}
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