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Add ME sniper notes

resume-web-dev-sniper
Kevin Mok 4 weeks ago
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  1. 2
      assets/sass/main.scss
  2. 97
      content/resume/_index.md
  3. 39
      content/resume/notes.md
  4. 32
      content/resume/old.md
  5. 2
      static/pdf

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assets/sass/main.scss
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@ -578,7 +578,7 @@ header {// {{{
// }
}// }}}
h2 {// {{{
color: $base-orange;
//color: $base-orange;
margin-top: .5rem;
font-size: 1em;

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@ -3,56 +3,13 @@ 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.
{{% /resume/section %}}<!--- }}} -->
{{% resume/section projects %}}<!--- {{{ -->
{{% resume/section "Web Dev Projects" %}}<!--- {{{ -->
<!--- Rarity Surf {{{ -->
{{% resume/project name="Rarity Surf"
languages="Python, JavaScript, React, Django"
date="Oct 2021" show="true" %}}
date="" show="true" %}}
- **Developed a full-stack web application** to generate rarity
rankings for NFT's integrated with leading NFT
@ -73,11 +30,10 @@ date="Oct 2021" show="true" %}}
<!--- Rarity Surf }}} -->
<!--- 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=""
show="true" %}}
- **Secured [2nd place](https://devpost.com/software/astronofty) overall out of 150+ teams** at UofTHacks
@ -90,12 +46,51 @@ show="true" %}}
<!--- 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" %}}
- **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%**.
- **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.
{{% /resume/section %}}<!--- }}} -->
{{% /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
**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 %}}<!--- }}} -->
@ -106,10 +101,4 @@ title="Computer Science Specialist — 3.84 GPA (CS). Graduated with High Distin
{{% /resume/section %}}<!--- }}} -->
{{% resume/section "References" %}}<!--- {{{ -->
{{% resume/references %}}
{{% /resume/section %}}<!--- }}} -->
<!-- vim: fdm=marker -->

39
content/resume/notes.md
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@ -0,0 +1,39 @@
# ME Sniper
write me a resume section similar to this (just a bit longer) for a web dev resume based on the points after with made up statistics
## Old
- **Developed a full-stack web application** to generate rarity
rankings for NFT's integrated with leading NFT
marketplace's (OpenSea) 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 (Javascript)
[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%**.
## New
- Developed a full-stack web application to generate rarity rankings for NFT’s integrated with leading NFT marketplace’s (Magic
Eden) API, enabling users to quickly identify rare NFT’s and check their listing status, improving market research efficiency by 80%.
- fetch metadata from either IPFS or website in parallel processes to create rarity
rankings as soon as metadata revealed
- reverse engineered algorithm for rarity rankings for NFT's based on article from
marketplace about their in-house statistical rarity
ranking
- created Prisma schema for PostgreSQL for database to store NFT data
- Node.js backend with API endpoints to return NFT's based
on max rank/price along with rarest traits
- lowest prices for rarity percentile to see if good deal
- fetch all listings from leading marketplace (Magic Eden) to be
able to identify which rare NFT's are on sale and be able
to filter based on max price/filter
- store previous sales data to check whether a buy at rarity
percentile is a good deal
- React FE to dynamically load NFT's based on rarity
rank/price filter with ability to hide seen ones
- Discord bot to notify you when customizable profitable resale
opportunity comes up based on rarity level/price

32
content/resume/old.txt → content/resume/old.md
View File

@ -52,6 +52,37 @@ date="Oct 2021" show="true" %}}
<!--- Rarity Surf }}} -->
<!--- Rarity Surf {{{ -->
{{% resume/project name="Rarity Surf (2)"
languages="Typescript, Node.js, React"
date="" show="true" %}}
- Developed a full-stack web application to generate rarity rankings for NFT’s integrated with leading NFT marketplace’s (Magic
Eden) API, enabling users to quickly identify rare NFT’s and check their listing status, improving market research efficiency by 80%.
- fetch metadata from either IPFS or website in parallel processes to create rarity
rankings as soon as metadata revealed
- reverse engineered algorithm for rarity rankings for NFT's based on article from
marketplace about their in-house statistical rarity
ranking
- created Prisma schema for PostgreSQL for database to store NFT data
- Node.js backend with API endpoints to return NFT's based
on max rank/price along with rarest traits
- lowest prices for rarity percentile to see if good deal
- fetch all listings from leading marketplace (Magic Eden) to be
able to identify which rare NFT's are on sale and be able
to filter based on max price/filter
- store previous sales data to check whether a buy at rarity
percentile is a good deal
- React FE to dynamically load NFT's based on rarity
rank/price filter with ability to hide seen ones
- Discord bot to notify you when customizable profitable resale
opportunity comes up based on rarity level/price
{{% /resume/project %}}
<!--- Rarity Surf }}} -->
<!--- Astronofty {{{ -->
{{% resume/project name="Astronofty"
@ -142,7 +173,6 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
<!--- AWS 3 }}} -->
<!--- Astronofty (extended) {{{ -->
{{% resume/project name="Astronofty"

2
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