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Redo Red Hat/projects for IT

Kevin Mok 4 days ago
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  1. 109
      content/resume/_index.md
  2. 2
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109
content/resume/_index.md

@ -3,6 +3,43 @@ title: "Resume"
date: 2019-02-11T07:50:51-05:00 date: 2019-02-11T07:50:51-05:00
draft: false draft: false
--- ---
{{% resume/section "Work Experience" %}}<!--- {{{ -->
{{% resume/work-experience name="Red Hat"
title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2022 — Aug 2023" %}}
- **Authored clear, user-friendly documentation** that
translated complex technical processes into
step-by-step guides, **accelerating onboarding by
50%** and enabling non-technical stakeholders to
self-serve.
- **Troubleshot CI/CD pipeline failures**
(Jenkins/Groovy), reducing manual intervention by 60%
through automated PR testing - **directly improving
team responsiveness to critical bugs**.
- **Diagnosed and resolved 80% of configuration
errors** in Kubernetes deployments by automating data
fetching and validation, **reducing system downtime
by 40%** and improving reliability for end-users.
- **Collaborated with QA and DevOps teams** to document
root causes of startup failures in legacy systems,
implementing dynamic probes that **cut production
launch issues by 50%**.
- **Reduced deployment-related support tickets by 66%**
by developing a CLI tool to automate Kubernetes
binary deployments, with documented troubleshooting
procedures that cut resolution time from 45 to 15
minutes.
- **Decreased configuration error escalations by 30%**
through dynamic probe defaults, and created knowledge
base articles enabling Tier 1 support to resolve most
probe issues independently.
- **Standardized debugging environments** with reusable
pipeline templates, reducing support team setup time
for issue reproduction by 75%.
{{% /resume/section %}}<!--- }}} -->
{{% resume/section "Web Dev Projects" %}}<!--- {{{ --> {{% resume/section "Web Dev Projects" %}}<!--- {{{ -->
<!--- Rarity Surf {{{ --> <!--- Rarity Surf {{{ -->
@ -17,20 +54,18 @@ date="March 2025" show="true" %}}
marketplace's API** to enable users to quickly identify marketplace's API** to enable users to quickly identify
rare NFT's and check their listing status, **improving rare NFT's and check their listing status, **improving
market research efficiency by 80%**. market research efficiency by 80%**.
- **Built a scalable [Node.js backend](https://github.com/Rarity-Surf/ME-sniper-backend)** with REST API
endpoints to return NFTs based on customizable filters
such as max rank, price, and rarest traits. **Optimized
performance** to handle **3,000+ concurrent requests** by
implementing efficient data fetching and caching
mechanisms using **PostgreSQL** , ensuring low-latency
access to NFT data.
- **Built a dynamic [React frontend](https://github.com/Rarity-Surf/ME-sniper-frontend) (TypeScript/JavaScript)** to load and display NFTs in real-time with user-defined filters. Styled
using a mobile-responsive library, **reducing load times by 50%**.
- **Developed a [Discord bot](https://github.com/Rarity-Surf/ME-sniper-discord-bot) (TypeScript/JavaScript/Node.js)** to notify users of profitable
resale opportunities by leveraging historical sales data
to assess deal quality. This feature **increased user
engagement by 80%** and provided a seamless way for users
to stay updated on market opportunities.
- **Provided direct user support** for NFT analytics
platform, troubleshooting API integration issues with
marketplace partners.
- **Worked directly with users** to implement frontend
filters (price, traits), translating business
requirements into technical solutions for
non-technical audiences.
- **Debugged and optimized API performance** under
load, reducing latency by 50% and enabling **3,000+
concurrent users** to filter NFT data
seamlessly - addressing real-time customer usability
issues.
{{% /resume/project %}} {{% /resume/project %}}
@ -49,22 +84,17 @@ show="true" %}}
featuring draggable events, smooth card-to-detail featuring draggable events, smooth card-to-detail
transitions week/day views optimized for both desktop transitions week/day views optimized for both desktop
and mobile. and mobile.
- **Engineered intuitive navigation and cross-device
interactivity**, implementing swipe gestures,
infinite horizontal scrolling (mobile), and arrow
controls (desktop) while resolving challenges like
drag-and-drop consistency and responsive layout
transitions.
- **Resolved cross-device UI/UX inconsistencies**
(drag-and-drop, mobile gestures) and documented
reproducible steps for QA, improving accessibility
for diverse user bases.
{{% /resume/project %}} {{% /resume/project %}}
<!--- }}} Kanban --> <!--- }}} Kanban -->
<!--- Astronofty {{{ -->
{{% resume/project name="Astronofty" {{% resume/project name="Astronofty"
url="https://github.com/Kevin-Mok/astronofty"
languages="JavaScript, React, Solidity" date="Jan 2023"
url="https://github.com/Kevin-Mok/astronofty" languages="JavaScript, React, Solidity" date="Jan 2023"
show="true" %}} show="true" %}}
- **Secured [2nd place](https://devpost.com/software/astronofty) overall out of 150+ teams** at UofTHacks - **Secured [2nd place](https://devpost.com/software/astronofty) overall out of 150+ teams** at UofTHacks
@ -75,40 +105,11 @@ show="true" %}}
{{% /resume/project %}} {{% /resume/project %}}
<!--- Astronofty }}} -->
{{% resume/section "Work Experience" %}}<!--- {{{ -->
{{% resume/work-experience name="Red Hat"
title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2022 — Aug 2023" %}}
- **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%** (**Kubernetes/GoLang** used for this and three below).
- **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**.
- **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**.
- **Improved system reliability** by refactoring probes to dynamically assign default values based on YAML files, **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%**.
{{% /resume/section %}}<!--- }}} -->
{{% /resume/section %}}<!--- }}} --> {{% /resume/section %}}<!--- }}} -->
{{% resume/section skills %}}<!--- {{{ --> {{% resume/section skills %}}<!--- {{{ -->
**TypeScript**, **JavaScript**, **React**, **Node.js**, **Python**, **Django**, PostgreSQL, MongoDB, Bash, **Git**, **Linux**, **Command Line**, Go(Lang), AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Solidity, C
**Technical writing**, user guides, **TypeScript**, **JavaScript**, **React**, **Node.js**, **Python**, **Django**, PostgreSQL, MongoDB, Bash, **Git**, **Linux**, **Command Line**, Go(Lang), AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Solidity, C
{{% /resume/section %}}<!--- }}} --> {{% /resume/section %}}<!--- }}} -->

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