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cc9d68081c Improve Rarity Surf 2024-10-09 10:51:46 -04:00
7 changed files with 59 additions and 226 deletions

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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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@@ -3,60 +3,10 @@ title: "Resume"
date: 2019-02-11T07:50:51-05:00
draft: false
---
{{% resume/section "Web Dev Projects" %}}<!--- {{{ -->
<!--- Rarity Surf {{{ -->
{{% resume/project name="Rarity Surf"
languages="TypeScript, JavaScript, Node.js, React"
date="March 2025" show="true" %}}
- **Developed a full-stack web application
(TypeScript/JavaScript)** to generate
rarity rankings for NFT's, integrating with **leading
marketplaces API** to enable users to quickly identify
rare NFT's and check their listing status, **improving
market research efficiency by 80%**.
- **Built a scalable Node.js 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 (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 (TypeScript/JavaScript)** 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.
{{% /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 }}} -->
{{% resume/section "Work Experience" %}}<!--- {{{ -->
{{% resume/work-experience name="Red Hat"
title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2022 — Aug 2023" %}}
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
@@ -74,12 +24,17 @@ title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" d
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.
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
@@ -92,19 +47,58 @@ title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" d
{{% /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%**.
- **Reverse engineered a proprietary ranking algorithm** to
mirror the leading rarity ranking sites results,
**achieving 99.75% accuracy** by
utilizing data scraping techniques [with Selenium](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py),
increasing the platform's trustworthiness among users.
- **Optimized purchasing strategy** by leveraging the app to
frontrun competitors in purchasing top 0.5% rarity NFTs,
**boosting acquisition success rate by 90%** and allowing
users to gain a competitive edge in the marketplace.
- **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 }}} -->
{{% /resume/section %}}<!--- }}} -->
{{% 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
**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 (St. George)"
{{% 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 %}}<!--- }}} -->
<!-- vim: fdm=marker -->

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@@ -1,39 +0,0 @@
# 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 NFTs integrated with leading NFT marketplaces (Magic
Eden) API, enabling users to quickly identify rare NFTs 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

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@@ -27,61 +27,14 @@
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%**.
- **Reverse engineered a proprietary ranking algorithm** to
mirror the leading rarity ranking sites results,
**achieving 99.75% accuracy** by
utilizing data scraping techniques [with Selenium](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py),
increasing the platform's trustworthiness among users.
- **Optimized purchasing strategy** by leveraging the app to
frontrun competitors in purchasing top 0.5% rarity NFTs,
**boosting acquisition success rate by 90%** and allowing
users to gain a competitive edge in the marketplace.
- **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 }}} -->
<!--- 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, integrating with **leading
marketplaces API** to enable users to quickly identify
rare NFT's and check their listing status, **improving
market research efficiency by 80%**.
- **Built a scalable Node.js 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, ensuring low-latency access to NFT data.
- **Developed a dynamic React frontend** to load and display
NFT's in real-time based on user-defined filters to
streamline browsing. Styled the interface using **Tailwind
CSS** for a responsive and modern design, **reducing
frontend load times by 50%**.
- **Developed a Discord bot** 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.
- Designed and implemented a **PostgreSQL schema** for to
efficiently store NFT data, including metadata, rarity
scores, and historical sales data.
- 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](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py) 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](https://github.com/Kevin-Mok/rarity-surf) to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
- Wrote **React** [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend) with hooks to dynamically load rarity data. Styled with Tailwind.
{{% /resume/project %}}
@@ -125,75 +78,6 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
{{% /resume/project %}}
<!--- AWS }}} -->
<!--- AWS 2 {{{ -->
{{% 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**.
- **Streamlined infrastructure management** by creating
Kubernetes manifest files to easily recreate server setups
with persistent storage, automatic restarts, and open
ports, **reducing the need for manual configuration**.
- **Automated AWS infrastructure provisioning** by writing
**Terraform** files to deploy **EC2** instances and Docker
containers, **accelerating deployment times by 80%** and
providing an easily reproducible infrastructure setup for
future projects.
- Improved web application accessibility and scalability by
configuring Amazon Route 53s DNS and NGINX to route
subdomains to individual web apps, enabling seamless
navigation between apps and reducing DNS resolution times
by 25%.
- Built a robust uptime monitoring system by writing a
JavaScript server script and setting up a systemd
service/timer to check and display page uptime every hour,
ensuring near real-time monitoring and reducing downtime
detection time by 85%.
{{% /resume/project %}}
<!--- AWS 2 }}} -->
<!--- AWS 3 {{{ -->
{{% 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 3 }}} -->
<!--- Astronofty (extended) {{{ -->
{{% 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 40%** during the demo,
and ensuring real-time NFT data retrieval, achieving a **75% improvement in loading times**.
{{% /resume/project %}}
<!--- Astronofty }}} -->
<!--- {{{ Spotify Graphs -->
{{% resume/project name="Spotify Graphs"

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@@ -14,10 +14,3 @@
3. Used app to frontrun purchases of top 0.5% rarity NFTs against competing buyers.
4. Wrote Django (Python) backend to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
5. Wrote React frontend with hooks to dynamically load rarity data. Styled with Tailwind.
# AWS
1. Deployed various web apps using Docker (Compose) on an AWS EC2 Debian/Linux server.
2. Created Kubernetes manifest files to quickly recreate my server setup with persistent storage/restarts and open ports.
3. Created Terraform files to deploy an AWS EC2 instance and Docker containers.
4. Used Amazon Route 53s DNS and NGINX to route subdomains to each web application.
5. Wrote a JavaScript server script and systemd service/timer to display the uptime of my pages every hour.

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@@ -6,6 +6,7 @@
<footer>
<div class="container">
<!-- <span class="copyright">&copy; {{ .Site.LastChange.Year }} {{ .Site.Title }} - <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></span> -->
<div id="footer-row" class="row justify-content-center">
<span id="footer-content" class="name">
<span id="copyright" class="col-xs-6">