Update STB nums

.gitignore

@@ -4,7 +4,7 @@ resources/_gen/
 themes/base16*
 
 *.pdf
-*pt*
+*p*.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: 1.57;
+  line-height: 1.59;
   // 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;
+        display: flex;
-        // margin-bottom: .1em;
+        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-weight: normal;
-    // font-size: .9em;
+    font-style: normal;
+    margin-left: 0.5em;
+    color: $base03;
   }
 
   .institution {
@@ -740,6 +752,8 @@ header {// {{{
 
   &.letter {
     margin-top: 2em;
+    margin-left: 2em;
+    margin-right: 2em;
     line-height: 1.5em;
 
     img {
@@ -754,6 +768,8 @@ header {// {{{
 
     p {
       margin-bottom: 1em;
+      font-size: 25px;
+      line-height: 1.5em;
     }
     
     .no-line-spacing {
@@ -1180,3 +1196,8 @@ pre { background: #2d2d2d; color: #f2f0ec }
 
 //  }}} Pygments  // 
 
+@media print {
+  .resume, body { font-size: 13pt; line-height: 1.5; }
+  .resume li { margin-bottom: 2pt !important; }
+  .resume h2, .resume .section__title { margin: 6pt 0 2pt !important; }
+}

content/resume/_index.md

@@ -3,129 +3,70 @@ title: "Resume"
 date: 2019-02-11T07:50:51-05:00
 draft: false
 ---
-{{% resume/section projects %}}<!--- {{{ -->
 
-<!--- RBC AML {{{ -->
+{{% resume/section "Summary" %}}
+**Customer-focused call centre** professional with **Tier 1/2 support**
+experience, **de-escalation**, and **clear communication**. Improves
+**first-response**, reduces **escalations**, and shortens **resolution times**
+across **high-volume phone/chat/email** queues. Strong **documentation habits**
+and **plain-language** explanations for non-technical users.
+{{% /resume/section %}}
 
-{{% resume/project name="AML Risk Analytics" 
+{{% resume/section "Work Experience" %}}
-languages="Python, SQL, Tableau"  
-date="July 2025" show="true" %}}
 
-* Built an end-to-end AML simulation using **Python**, 
+{{% resume/work-experience
-  generating **9M+ records** across customers, 
+    name="Red Hat"
-  transactions, and alerts to mimic real-world 
+    title="Technical Support Engineer Intern (Tier 1/2)"
-  financial behavior and suspicious activity patterns.
+    languages="Ticketing/Triage, De-escalation, Knowledge Base Writing"
-* Wrote advanced **SQL (CTEs + joins)** to classify 
+    date="Aug 2022 — Aug 2024"
-  **high-risk customers**, calculate alert counts, and 
+%}}
-  filter transactions over the past 90 days with 
-  aggregated metrics.
-* Engineered a **risk scoring model** in Python 
-  using transaction thresholds and alert volume to 
-  classify customers as Elevated or Critical risk.
-* Designed **interactive Tableau dashboards** (Risk 
-  Heatmap, Alert Efficiency, Risk vs. Avg Amount) to 
-  visualize cross-country AML exposure and alert 
-  effectiveness.
-- **Developed KPI-ready metrics** (alert rate, avg USD 
-  exposure, transaction volume) to drive AML 
-  performance reporting and enable cross-country risk 
-  comparisons.
-- **Normalized multi-currency transaction data** to 
-  ensure consistent exposure calculations across USD, 
-  CAD, and EUR, supporting reliable AML metric 
-  aggregation.
 
+- Delivered **Tier 1/2 frontline support** for CI/CD and Kubernetes issues via a ticket queue, improving **first-response time by 40%** through better triage and routing.
+- Performed **incident troubleshooting and root-cause analysis**; automated data capture/validation that resolved **80% of config errors** and **reduced downtime by 40%**.
+- Wrote **clear, step-by-step knowledge-base articles** and troubleshooting flows that enabled Tier 1 to solve common probe issues, **cutting escalations by 30%**.
+- Built a deployment **runbook** that standardized fixes and **reduced repeat contacts/tickets by 66%**; **shortened resolution time from 45 → 15 minutes**.
+- Kept users informed with **concise status updates**, set expectations, and **de-escalated frustrated stakeholders** by focusing on next steps and time to resolution.
+- Partnered with QA/DevOps to capture **root causes** of startup failures; implemented dynamic probes that **cut production launch issues by 50%**.
+
+{{% resume/work-experience
+    name="Digital Goods Marketplace"
+    title="Owner–Operator (Customer Support & Sales)"
+    languages="Live Chat Support, Dispute Resolution, Sales Negotiation"
+    date="July 2025 — Present"
+%}}
+
+- Built and managed a **peer-to-peer e-commerce operation** reselling digital items; exceeded **$50,000+ gross merchandise 
+  value**.
+- Closed transactions and **middlemanned for high-value trades exceeding $5,000+ deals)** with **250+ verified vouches**, maintaining **5-star satisfaction** and **zero unresolved disputes**.
+- Handled **end-to-end operations and escrow**: sourcing, pricing, inventory, listings, secure payments and fulfillment.
+- Implemented **fair-value pricing** and **bundle offers** to accelerate turnover and improve margins while reducing low-value inquiries.
+- Standardized **ownership verification and middleman workflows** to mitigate **fraud/chargeback** risk on large trades.
+- Tracked **P&L and cash flow**; reconciled payments and maintained records for auditability.
+
+{{% /resume/section %}}
+
+{{% resume/section " Dev Projects" %}}
+{{% resume/project name="Rarity Surf"
+languages="User Support, Bug Reproduction"
+date="Mar 2024 — Dec 2024" show="true" %}}
+- Reproduced user issues and wrote **concise repro steps**, **known-issues
+  workarounds**, and **onboarding/troubleshooting snippets** that reduced
+  **repeat questions**, improved **first-contact resolution (FCR)**, and kept
+  user-facing docs in sync with shipped fixes.
 {{% /resume/project %}}
+{{% /resume/section %}}
 
-<!--- RBC AML }}} -->
+{{% resume/section "Skills" %}}
-
+- **Customer Support & Call Centre:** Active listening, empathy,
-<!--- Spotify Visualized {{{ -->
+  de-escalation, written/verbal communication, ticket
-
+  triage/prioritization, **SLA awareness**, call/chat/email etiquette,
-{{% resume/project name="Spotify Visualized" 
+  documentation & **KB** writing
-url="https://github.com/Kevin-Mok/astronofty" languages="Python, Django" date="June 2023" 
+- **Technical:** **Microsoft 365**, **VPN/log basics**, **Linux**; 
-show="true" %}}
+- **Languages:** **English**, **Cantonese (fluent)**
-
+{{% /resume/section %}}
-- **Built a high-performance Python backend** using 
-  Django and PostgreSQL to process 10K+ data records 
-  per user, optimizing ingestion pipelines via API 
-  integration and ORM modeling.
-- **Engineered normalized database schemas** to 
-  streamline query workflows, achieving a **50% 
-  reduction in PostgreSQL latency** for high-volume 
-  reporting tasks.
-- **Visualized user music libraries in Tableau**, 
-  creating dashboards that grouped tracks by **artist 
-  and genre**, enabling users to explore listening 
-  patterns and discover trends in their Spotify data.
-
-{{% /resume/project %}}
-
-<!--- Spotify Visualized }}} -->
-
-<!--- Rarity Surf {{{ -->
-
-{{% resume/project name="Rarity Surf" 
-languages="Python, Django, JavaScript, React"  
-date="Oct 2022" show="true" %}}
-
-- **Built a full-stack reporting tool** using React, 
-  Django, and **PostgreSQL** to analyze 
-  structured/unstructured metadata from APIs, enabling 
-  real-time rarity scoring and improving insight 
-  delivery by **80%**.
-- **Optimized SQL query performance** within a 
-  Django-based pipeline, processing NFT ranking data at 
-  scale and exposing results via GraphQL with 
-  **low-latency response times under high concurrency 
-  (2,000+ queries)**.
-
-{{% /resume/project %}}
-
-<!--- Rarity Surf }}} -->
-
-{{% /resume/section %}}<!--- }}} -->
-
-{{% resume/section "Work Experience" %}}<!--- {{{ -->
-
-{{% resume/work-experience name="Red Hat" 
-title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2022 - Aug 2023" %}}
-
-- **Decreased manual configuration errors by 80%** by 
-  automating service discovery and dynamic config 
-  updates, aligning with AML goals of minimizing 
-  operational risk and improving data integrity.
-- **Enhanced CI pipeline reproducibility and 
-  performance** by rewriting the Jenkins nightly 
-  pipeline to support automated PR-level testing with 
-  reusable parameters, improving report consistency 
-  across environments.
-- **Collaborated cross-functionally** with developers 
-  and testers to maintain reliable infrastructure, 
-  echoing the AML role's emphasis on stakeholder 
-  partnership for building robust reporting systems.
-- **Improved system reliability** during production 
-  launches by implementing startup probes for legacy 
-  services, reducing downtime and enhancing stability 
-  for automated monitoring/reporting pipelines.
-- **Reduced reporting deployment time by 66%** by 
-  building a CLI-based solution to push compiled 
-  binaries directly into Kubernetes/Openshift clusters, 
-  accelerating turnaround for testing and data 
-  validation workflows.
-
-{{% /resume/section %}}<!--- }}} -->
-
-{{% resume/section skills %}}<!--- {{{ -->
-
-**Python**, **SQL**, **PostgreSQL**, **Tableau**, **MongoDB**, **JavaScript**, Django, **React**, Bash, **Git**, **Linux**, **Command Line**, Go(Lang), AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Solidity, C  
-
-{{% /resume/section %}}<!--- }}} -->
-
-{{% resume/section education %}}<!--- {{{ -->
 
+{{% resume/section "Education" %}}
 {{% 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. Graduated with High Distinction."
-
+date="2020 — 2025" %}}
-{{% /resume/section %}}<!--- }}} -->
+{{% /resume/section %}}
-
-<!-- vim: fdm=marker -->

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>