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9 Commits
latex-resu
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resume-it-
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@@ -104,7 +104,7 @@ body {
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background-color: $background-color;
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background-color: $background-color;
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color: $color;
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color: $color;
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// line-height: 1.5;
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// line-height: 1.5;
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line-height: 1.57;
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line-height: 1.59;
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// font-size: 100%;
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// font-size: 100%;
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// font-size: 15px;
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// font-size: 15px;
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font-size: 17px;
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font-size: 17px;
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@@ -578,7 +578,7 @@ header {// {{{
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// }
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// }
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}// }}}
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}// }}}
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h2 {// {{{
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h2 {// {{{
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color: $base-orange;
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//color: $base-orange;
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margin-top: .5rem;
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margin-top: .5rem;
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font-size: 1em;
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font-size: 1em;
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@@ -639,15 +639,25 @@ header {// {{{
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}
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}
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.project-header {
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.project-header {
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// margin-bottom: .6em;
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display: flex;
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// margin-bottom: .1em;
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align-items: baseline;
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||||||
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justify-content: space-between;
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margin-bottom: 5px;
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margin-bottom: 5px;
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}
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}
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.project-date {
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margin-left: 1em;
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}
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.project-title {
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.project-title {
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// color: $base-blue;
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color: black;
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display: inline;
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display: inline;
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margin-right: 0.5em;
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}
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.project-title span {
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display: inline;
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margin-left: 0.5em;
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font-weight: normal;
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}
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}
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.project-link {
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.project-link {
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@@ -709,8 +719,10 @@ header {// {{{
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}
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}
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.languages {
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.languages {
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||||||
// font-style: italic;
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font-weight: normal;
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// font-size: .9em;
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font-style: normal;
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margin-left: 0.5em;
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color: $base03;
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}
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}
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||||||
.institution {
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.institution {
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||||||
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|||||||
@@ -6,95 +6,99 @@ draft: false
|
|||||||
{{% resume/section "Work Experience" %}}<!--- {{{ -->
|
{{% resume/section "Work Experience" %}}<!--- {{{ -->
|
||||||
|
|
||||||
{{% resume/work-experience name="Red Hat"
|
{{% resume/work-experience name="Red Hat"
|
||||||
title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2020 — Aug 2021" %}}
|
title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2022 — Aug 2023" %}}
|
||||||
|
|
||||||
- **Reduced deployment time by 66%** by implementing a
|
- **Provided Tier 1 and Tier 2 support**, resolving
|
||||||
[solution](https://github.com/apache/incubator-kie-kogito-operator/commit/175a6356c5474f2360ccb8ae835e0b9b2d653cf1) for deploying locally-compiled binaries onto
|
user-reported issues with CI/CD pipelines and Kubernetes
|
||||||
Kubernetes/OpenShift via command-line, **cutting average
|
environments, resulting in a **40% faster average response
|
||||||
deployment times from 45 minutes to 15 minutes**.
|
time**.
|
||||||
(**Kubernetes/GoLang** used for this and three below).
|
- **Diagnosed and resolved 80% of configuration
|
||||||
- **Eliminated 80% of manual configuration errors** by enabling
|
errors** in Kubernetes deployments by automating data
|
||||||
the Kubernetes operator to automatically fetch data from
|
fetching and validation, **reducing system downtime
|
||||||
deployed services and update configurations, **deprecating
|
by 40%** and improving reliability for end-users.
|
||||||
legacy startup scripts and reducing overall startup time
|
- **Reduced deployment-related support tickets by 66%**
|
||||||
by 40%**.
|
by developing a CLI tool to automate Kubernetes
|
||||||
- **Improved application stability** by introducing startup
|
binary deployments, with documented troubleshooting
|
||||||
probes for legacy applications with longer boot times,
|
procedures that cut resolution time from 45 to 15
|
||||||
**resulting in a 50% reduction in startup-related failures
|
minutes.
|
||||||
and downtime during production launches**.
|
- **Decreased configuration error escalations by 30%**
|
||||||
- **Enhanced system reliability** by refactoring probes to
|
through dynamic probe defaults and created knowledge
|
||||||
[assign default values](https://github.com/apache/incubator-kie-kogito-operator/commit/af4977af228ec8648be28779259d4552246b656f) dynamically based on deployed YAML
|
base articles enabling Tier 1 support to resolve most
|
||||||
files and fixing reconciliation issues, **increasing probe accuracy by 30%** and preventing misconfigurations.
|
probe issues independently.
|
||||||
- **Increased CI pipeline efficiency** by rewriting the
|
- **Authored clear, user-friendly documentation** that
|
||||||
**Jenkins (Groovy)** [nightly pipeline](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88) to run in a GitHub PR
|
translated complex technical processes into
|
||||||
environment, allowing for automated testing of all
|
step-by-step guides, **accelerating onboarding by
|
||||||
team-submitted PRs prior to merging, **reducing manual
|
50%** and enabling non-technical stakeholders to
|
||||||
intervention by 60%**.
|
self-serve.
|
||||||
- **Increased project reproducibility** by taking initiative to
|
- **Collaborated with QA and DevOps teams** to document
|
||||||
write a [reusable GitHub parameters file](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88#diff-7d2c018dafbccec859077d19bf1ade53ec9c7649f235528ce89f5632b109f7e6) for the pipeline,
|
root causes of startup failures in legacy systems,
|
||||||
**enabling 100% reusability** and ensuring consistent pipeline
|
implementing dynamic probes that **cut production
|
||||||
setups across different environments.
|
launch issues by 50%**.
|
||||||
|
|
||||||
{{% /resume/section %}}<!--- }}} -->
|
{{% /resume/section %}}<!--- }}} -->
|
||||||
|
|
||||||
{{% resume/section projects %}}<!--- {{{ -->
|
{{% resume/section "Web Dev Projects" %}}<!--- {{{ -->
|
||||||
|
|
||||||
|
<!--- 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**.
|
||||||
|
- **Built a uptime monitoring system** by writing a
|
||||||
|
JavaScript script and setting up a systemd
|
||||||
|
service/timer to check and display page uptime,
|
||||||
|
**ensuring near real-time monitoring and reducing downtime
|
||||||
|
time by 95%**.
|
||||||
|
- **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.
|
||||||
|
- **Improved web application accessibility** by
|
||||||
|
configuring **AWS Route 53**’s DNS and **NGINX** to route
|
||||||
|
subdomains to individual web apps, **enabling seamless
|
||||||
|
navigation between apps**.
|
||||||
|
|
||||||
|
{{% /resume/project %}}
|
||||||
|
|
||||||
|
<!--- AWS }}} -->
|
||||||
|
|
||||||
<!--- Rarity Surf {{{ -->
|
<!--- Rarity Surf {{{ -->
|
||||||
|
|
||||||
{{% resume/project name="Rarity Surf"
|
{{% resume/project name="Rarity Surf"
|
||||||
languages="Python, Django, JavaScript, React"
|
languages="TypeScript, JavaScript, Node.js, React"
|
||||||
date="Oct 2021" show="true" %}}
|
date="March 2025" show="true" %}}
|
||||||
|
|
||||||
- **Developed a full-stack web application** to generate rarity
|
- **Provided direct user support** for a live NFT analytics
|
||||||
rankings for NFT's integrated with leading NFT
|
platform, resolving front-end filtering bugs and API
|
||||||
marketplace's (OpenSea) API,
|
integration issues in real-time.
|
||||||
enabling users to **quickly identify rare NFT's** and check
|
- **Developed a full-stack web application with PostgreSQL database** to analyze NFT rarity rankings, increasing market research efficiency by 80%.
|
||||||
their listing status, **improving market research efficiency by 80%**.
|
- **Translated user requests into technical features**, implementing real-time PostgreSQL-powered filters that improved usability for non-technical traders.
|
||||||
- **Architected a robust Django (Python) [backend](https://github.com/Kevin-Mok/rarity-surf)** to fetch and process
|
- **Debugged and optimized API performance** under
|
||||||
NFT metadata from IPFS, store rarity rankings in
|
load, reducing latency by 50% and enabling **3,000+
|
||||||
**PostgreSQL**, and serve the data via GraphQL API, **ensuring low-latency access and scaling to handle 2,000+ concurrent requests**.
|
concurrent users** to filter NFT data
|
||||||
|
seamlessly, addressing real-time customer usability
|
||||||
|
issues.
|
||||||
|
|
||||||
{{% /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
|
- **IT Support Skills**: Tier 1/2 Troubleshooting, Incident
|
||||||
|
Response, Jira, Microsoft 365, VPN, Log Analysis, Knowledge Base Writing, Root Cause
|
||||||
|
Investigation
|
||||||
|
- **Customer Support**: Cross-team Collaboration,
|
||||||
|
Communication, User Training, Documentation
|
||||||
|
- **Programming Languages**: Python, Go, JavaScript,
|
||||||
|
TypeScript
|
||||||
|
- **Web Development**: AWS, PostgreSQL, Linux, React, Django
|
||||||
|
|
||||||
{{% /resume/section %}}<!--- }}} -->
|
{{% /resume/section %}}<!--- }}} -->
|
||||||
|
|
||||||
@@ -103,11 +107,7 @@ show="true" %}}
|
|||||||
{{% resume/education name="University of Toronto (St. George)"
|
{{% resume/education name="University of Toronto (St. George)"
|
||||||
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 %}}<!--- }}} -->
|
- **Relevant Coursework**: Computer Networking, Databases, Operating Systems
|
||||||
|
|
||||||
{{% resume/section "References" %}}<!--- {{{ -->
|
|
||||||
|
|
||||||
{{% resume/references %}}
|
|
||||||
|
|
||||||
{{% /resume/section %}}<!--- }}} -->
|
{{% /resume/section %}}<!--- }}} -->
|
||||||
|
|
||||||
|
|||||||
39
content/resume/notes.md
Normal file
39
content/resume/notes.md
Normal file
@@ -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
|
||||||
@@ -52,6 +52,41 @@ date="Oct 2021" show="true" %}}
|
|||||||
|
|
||||||
<!--- Rarity Surf }}} -->
|
<!--- 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
|
||||||
|
marketplace’s 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.
|
||||||
|
|
||||||
|
{{% /resume/project %}}
|
||||||
|
|
||||||
|
<!--- Rarity Surf }}} -->
|
||||||
|
|
||||||
<!--- Astronofty {{{ -->
|
<!--- Astronofty {{{ -->
|
||||||
|
|
||||||
{{% resume/project name="Astronofty"
|
{{% resume/project name="Astronofty"
|
||||||
@@ -142,7 +177,6 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
|
|||||||
|
|
||||||
<!--- AWS 3 }}} -->
|
<!--- AWS 3 }}} -->
|
||||||
|
|
||||||
|
|
||||||
<!--- Astronofty (extended) {{{ -->
|
<!--- Astronofty (extended) {{{ -->
|
||||||
|
|
||||||
{{% resume/project name="Astronofty"
|
{{% resume/project name="Astronofty"
|
||||||
@@ -2,9 +2,8 @@
|
|||||||
<div class="row project-header">
|
<div class="row project-header">
|
||||||
<div class="col-8 text-left">
|
<div class="col-8 text-left">
|
||||||
<h2 class="project-title">
|
<h2 class="project-title">
|
||||||
{{ .Get "name" }}
|
{{ .Get "name" }} <span class="languages"><{{ .Get "languages" }}></span>
|
||||||
</h2>
|
</h2>
|
||||||
<span><{{ .Get "languages" }}></span>
|
|
||||||
</div>
|
</div>
|
||||||
<div class="col-4 text-right date">{{ .Get "date" }}</div>
|
<div class="col-4 text-right date">{{ .Get "date" }}</div>
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</div>
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</div>
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Submodule static/pdf updated: 2acb4ee38c...c29fac97cb
Reference in New Issue
Block a user