---
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%**.

{{% /resume/section %}}<!--- }}} -->

{{% resume/section projects %}}<!--- {{{ -->

<!--- 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%**.


{{% /resume/project %}}

<!--- Rarity Surf }}} -->

<!--- Astronofty {{{ -->

{{% resume/project name="Astronofty" 
url="https://github.com/Kevin-Mok/astronofty" languages="JavaScript, React, Solidity" date="Jan 2023" 
show="true" %}}

- **Secured [2nd place](https://devpost.com/software/astronofty) overall out of 150+ teams** at UofTHacks 
  X, a 36-hour hackathon, for developing a blockchain-based 
  NFT marketplace app.
- **Built and optimized React (JavaScript) [components](https://github.com/Kevin-Mok/astronofty/tree/main/src/components)** to synchronously 
  upload images and metadata to IPFS, **enhancing user engagement by 80%** during the demo.

{{% /resume/project %}}

<!--- Astronofty }}} -->
<!--- 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.

{{% /resume/project %}}

<!--- AWS }}} -->

{{% /resume/section %}}<!--- }}} -->

{{% 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  

{{% /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" %}}<!--- {{{ -->

{{% resume/references %}}

{{% /resume/section %}}<!--- }}} -->

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