Fix Astronofy date

.gitignore

@@ -4,6 +4,7 @@ resources/_gen/
 themes/base16*
 
 *.pdf
+*t.md
 
 commit-msg.txt
 .hugo_build.lock

assets/sass/main.scss

@@ -104,7 +104,7 @@ body {
   background-color: $background-color;
   color: $color;
   // line-height: 1.5;
-  line-height: 1.58;
+  line-height: 1.57;
   // font-size: 100%;
   // font-size: 15px;
   font-size: 17px;
@@ -578,7 +578,7 @@ header {// {{{
     // }
   }// }}}
   h2 {// {{{
-    color: $base-orange;
+    //color: $base-orange;
     margin-top: .5rem;
     font-size: 1em;
 
@@ -639,15 +639,25 @@ header {// {{{
       }
 
       .project-header {
-        // margin-bottom: .6em;
-        // margin-bottom: .1em;
+        display: flex;
+        align-items: baseline;
+        justify-content: space-between;
         margin-bottom: 5px;
       }
 
+      .project-date {
+        margin-left: 1em;
+      }
+
       .project-title {
-        // color: $base-blue;
-        color: black;
         display: inline;
+        margin-right: 0.5em;
+      }
+
+      .project-title span {
+        display: inline;
+        margin-left: 0.5em;
+        font-weight: normal;
       }
 
       .project-link {
@@ -709,8 +719,10 @@ header {// {{{
   }
 
   .languages {
-    // font-style: italic;
-    // font-size: .9em;
+    font-weight: normal;
+    font-style: normal;
+    margin-left: 0.5em;
+    color: $base03;
   }
 
   .institution {

content/resume/_index.md

@@ -3,86 +3,68 @@ 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%**.
-- **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.
-
-{{% /resume/section %}}<!--- }}} -->
-
-{{% resume/section projects %}}<!--- {{{ -->
+{{% resume/section "Web Dev Projects" %}}<!--- {{{ -->
 
 <!--- Rarity Surf {{{ -->
 
 {{% resume/project name="Rarity Surf" 
-languages="Python, Django, JavaScript, React"  
-date="Oct 2021" show="true" %}}
+languages="TypeScript, JavaScript, Node.js, React"  
+date="March 2025" show="true" %}}
 
-- **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 [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%**.
+- **Developed a full-stack web application 
+  (TypeScript/JavaScript)** 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](https://github.com/Rarity-Surf/ME-sniper-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](https://github.com/Rarity-Surf/ME-sniper-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](https://github.com/Rarity-Surf/ME-sniper-discord-bot) (TypeScript/JavaScript/Node.js)** 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 }}} -->
 
-<!--- Spotify Visualized {{{ -->
+<!--- {{{ Kanban -->
 
-{{% resume/project name="Spotify Visualized" 
-url="https://github.com/Kevin-Mok/astronofty" languages="Python, Django" date="June 2019" 
+{{% resume/project name="Kanban Calendar" 
+url="https://github.com/Kevin-Mok/astronofty" 
+languages="TypeScript, JavaScript, React, Next.js" date="Mar 2024" 
 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.
+- **Developed a [responsive calendar Kanban 
+  board](https://kanban-calendar-lake.vercel.app/) 
+  using Next.js, TypeScript, and Tailwind CSS**, 
+  featuring draggable events, smooth card-to-detail 
+  transitions week/day views optimized for both desktop 
+  and mobile.
+- **Engineered intuitive navigation and cross-device 
+  interactivity**, implementing swipe gestures, 
+  infinite horizontal scrolling (mobile), and arrow 
+  controls (desktop) while resolving challenges like 
+  drag-and-drop consistency and responsive layout 
+  transitions.
 
 {{% /resume/project %}}
 
-<!--- Astronofty }}} -->
+<!--- }}} Kanban -->
 
 <!--- 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="Jan 2023" 
 show="true" %}}
 
 - **Secured [2nd place](https://devpost.com/software/astronofty) overall out of 150+ teams** at UofTHacks 
@@ -95,11 +77,38 @@ 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" %}}
+
+- **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%** (**Kubernetes/GoLang** used for this and three below). 
+- **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**. 
+- **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**.
+- **Improved system reliability** by refactoring probes to dynamically assign default values based on YAML files, **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 %}}<!--- }}} -->
 
 {{% 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  
+**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 %}}<!--- }}} -->
 

content/resume/notes.md

@@ -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

content/resume/old.md

@@ -52,6 +52,41 @@ 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, 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 {{{ -->
 
 {{% resume/project name="Astronofty" 
@@ -142,7 +177,6 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
 
 <!--- AWS 3 }}} -->
 
-
 <!--- Astronofty (extended) {{{ -->
 
 {{% resume/project name="Astronofty" 

layouts/shortcodes/resume/project.html

@@ -2,9 +2,8 @@
   <div class="row project-header">
     <div class="col-8 text-left">
         <h2 class="project-title">
-          {{ .Get "name" }}
+          {{ .Get "name" }} <span class="languages">&lt;{{ .Get "languages" }}&gt;</span>
         </h2>
-        <span><{{ .Get "languages" }}></span>
     </div>
     <div class="col-4 text-right date">{{ .Get "date" }}</div>
   </div>