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Author SHA1 Message Date
cc9d68081c Improve Rarity Surf 2024-10-09 10:51:46 -04:00
5 changed files with 38 additions and 136 deletions

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@@ -24,16 +24,26 @@ title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" d
and downtime during production launches**. and downtime during production launches**.
- **Enhanced system reliability** by refactoring probes to - **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 [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 - **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 **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 environment, allowing for automated testing of all
team-submitted PRs prior to merging, **reducing manual team-submitted PRs prior to merging, **reducing manual
intervention by 60%**. 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 - **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, 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 **enabling 100% reusability** and ensuring consistent pipeline
setups across different environments. 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 %}}<!--- }}} -->
@@ -42,65 +52,45 @@ title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" d
<!--- Rarity Surf {{{ --> <!--- Rarity Surf {{{ -->
{{% resume/project name="Rarity Surf" {{% resume/project name="Rarity Surf"
languages="Python, Django, JavaScript, React" languages="Python, JavaScript, React, Django"
date="Oct 2021" show="true" %}} date="Oct 2021" show="true" %}}
- **Developed a full-stack web application** to generate rarity - **Developed a full-stack web application** to generate rarity
rankings for NFT's integrated with leading NFT rankings for NFT's integrated with OpenSea's API,
marketplace's (OpenSea) API,
enabling users to **quickly identify rare NFT's** and check enabling users to **quickly identify rare NFT's** and check
their listing status, **improving market research efficiency by 80%**. 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 - **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 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**. **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 %}} {{% /resume/project %}}
<!--- Rarity Surf }}} --> <!--- Rarity Surf }}} -->
<!--- {{{ Gobcog -->
{{% resume/project name="Discord Adventure Game"
url="https://github.com/Kevin-Mok/astronofty" languages="Python" date="Jan 2020"
show="true" %}}
- [**Redesigned item generation system**](https://github.com/Kevin-Mok/gobcog/pull/5) for open source Discord game
built with **Python**, replacing 83k-line static JSON files with dynamic item generation, achieving a **99% reduction** in file size and reducing memory usage by **85%**.
- **Implemented modular item components** to enable over **152,000 unique combinations**, improving gameplay diversity and item quality.
{{% /resume/project %}}
<!--- }}} Gobcog -->
<!--- Spotify Visualized {{{ -->
{{% resume/project name="Spotify Visualized"
url="https://github.com/Kevin-Mok/astronofty" languages="Python, Django" date="June 2019"
show="true" %}}
- **Built a [high-performance backend](https://github.com/Kevin-Mok/spotify-lib-vis)** in Python with Django,
utilizing Django ORM to model and manage user data
efficiently, processing over **10,000 tracks per library** via
the Spotify API.
- **Engineered and optimized database models** achieving a **50% reduction in query latency** on PostgreSQL
for core workflows through effective schema normalization.
{{% /resume/project %}}
<!--- Astronofty }}} -->
{{% /resume/section %}}<!--- }}} --> {{% /resume/section %}}<!--- }}} -->
{{% resume/section skills %}}<!--- {{{ --> {{% resume/section skills %}}<!--- {{{ -->
**Python**, **Django**, **JavaScript**, **React**, Node.js, 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 %}}<!--- }}} -->
{{% resume/section education %}}<!--- {{{ --> {{% 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" %}} title="Computer Science Specialist — 3.84 GPA (CS). Graduated with High Distinction." date="2019 — 2024" %}}
{{% /resume/section %}}<!--- }}} --> {{% /resume/section %}}<!--- }}} -->

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@@ -27,26 +27,14 @@
languages="Python, JavaScript, React, Django" languages="Python, JavaScript, React, Django"
date="Oct 2021" show="true" %}} date="Oct 2021" show="true" %}}
- **Developed a full-stack web application** to generate rarity - Web app to give rarity rankings to NFT's and check which are listed on the OpenSea marketplace using their API.
rankings for NFT's integrated with OpenSea's API, - Reverse engineered the ranking algorithm to match the
enabling users to **quickly identify rare NFT's** and check leading rarity ranking site's rankings ([scraped](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py) using
their listing status, **improving market research efficiency by 80%**. Selenium) with a **discrepancy of <0.25%**.
- **Reverse engineered a proprietary ranking algorithm** to - Used app to frontrun purchases of **top 0.5%** rarity NFT's
mirror the leading rarity ranking sites results, against competing buyers.
**achieving 99.75% accuracy** by - 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.
utilizing data scraping techniques [with Selenium](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py), - Wrote **React** [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend) with hooks to dynamically load rarity data. Styled with Tailwind.
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 %}} {{% /resume/project %}}
@@ -90,76 +78,6 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
{{% /resume/project %}} {{% /resume/project %}}
<!--- AWS }}} --> <!--- 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 --> <!--- {{{ Spotify Graphs -->
{{% resume/project name="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. 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. 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. 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> <footer>
<div class="container"> <div class="container">
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<div id="footer-row" class="row justify-content-center"> <div id="footer-row" class="row justify-content-center">
<span id="footer-content" class="name"> <span id="footer-content" class="name">
<span id="copyright" class="col-xs-6"> <span id="copyright" class="col-xs-6">