Normal dashes

.gitignore

@@ -4,7 +4,7 @@ resources/_gen/
 themes/base16*
 
 *.pdf
-*p*.md
+*pt*
 
 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: 1.59;
+  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;
 
@@ -639,25 +639,15 @@ header {// {{{
       }
 
       .project-header {
-        display: flex;
-        align-items: baseline;
-        justify-content: space-between;
+        // margin-bottom: .6em;
+        // margin-bottom: .1em;
         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 {
@@ -719,10 +709,8 @@ header {// {{{
   }
 
   .languages {
-    font-weight: normal;
-    font-style: normal;
-    margin-left: 0.5em;
-    color: $base03;
+    // font-style: italic;
+    // font-size: .9em;
   }
 
   .institution {
@@ -752,8 +740,6 @@ header {// {{{
 
   &.letter {
     margin-top: 2em;
-    margin-left: 2em;
-    margin-right: 2em;
     line-height: 1.5em;
 
     img {
@@ -768,8 +754,6 @@ header {// {{{
 
     p {
       margin-bottom: 1em;
-      font-size: 25px;
-      line-height: 1.5em;
     }
     
     .no-line-spacing {
@@ -1196,8 +1180,3 @@ 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

@@ -3,59 +3,129 @@ title: "Resume"
 date: 2019-02-11T07:50:51-05:00
 draft: false
 ---
+{{% resume/section projects %}}<!--- {{{ -->
 
-{{% 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 %}}
+<!--- RBC AML {{{ -->
 
-{{% resume/section "Work Experience" %}}
+{{% resume/project name="AML Risk Analytics" 
+languages="Python, SQL, Tableau"  
+date="July 2025" show="true" %}}
 
-{{% 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 an end-to-end AML simulation using **Python**, 
+  generating **9M+ records** across customers, 
+  transactions, and alerts to mimic real-world 
+  financial behavior and suspicious activity patterns.
+* Wrote advanced **SQL (CTEs + joins)** to classify 
+  **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.
 
-- 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/work-experience
-    name="Red Hat"
-    title="Technical Support Engineer Intern (Tier 1/2)"
-    languages="Ticketing/Triage, De-escalation, Knowledge Base Writing"
-    date="Aug 2022 — Aug 2024"
-%}}
-
-- 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/section %}}
-
-{{% resume/section "Web Dev Projects" %}}
-{{% resume/project name="Rarity Surf" languages="User Support, Bug Reproduction" date="March 2024 — Dec 2024" show="true" %}}
-- Reproduced user-reported issues; wrote **concise repro steps** and a **known-issues + workarounds** note to reduce repeat questions.  
-- Partnered with devs to **prioritize fixes** from impact-driven triage and shipped **onboarding/troubleshooting snippets** that cut new-user setup pings, improved first-contact resolution, and kept user-facing notes up to date.  
 {{% /resume/project %}}
-{{% /resume/section %}}
 
-{{% resume/section "Skills" %}}
-- **Customer Support & Call Centre:** Active listening, empathy, de-escalation, clear written/verbal comms, ticket triage/prioritization, SLA awareness, call/chat/email etiquette, documentation & KB writing
-- **Technical:** Microsoft 365, VPN/log basics, Linux basics
-- **Languages:** English; **Cantonese (fluent)**
-{{% /resume/section %}}
+<!--- RBC AML }}} -->
+
+<!--- Spotify Visualized {{{ -->
+
+{{% resume/project name="Spotify Visualized" 
+url="https://github.com/Kevin-Mok/astronofty" languages="Python, Django" date="June 2023" 
+show="true" %}}
+
+- **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. Graduated with High Distinction."
-date="2020 — 2025" %}}
-{{% /resume/section %}}
+title="Computer Science Specialist - 3.84 GPA (CS). Graduated with High Distinction." date="2019 - 2024" %}}
+
+{{% /resume/section %}}<!--- }}} -->
+
+<!-- vim: fdm=marker -->

content/resume/notes.md

@@ -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 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.txt

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

layouts/shortcodes/resume/project.html

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

layouts/shortcodes/resume/work-experience.html

@@ -5,16 +5,13 @@
         {{ .Get "name" }}
       </p>
     </div>
-    <div class="col text-right date">
-      {{ .Get "date" }}
-    </div>
+    <div class="col text-right date">{{ .Get "date" }}</div>
   </div>
+  <!-- <span class="title"> -->
   <span class="position">
     {{ .Get "title" }}
   </span>
-  {{ with .Get "languages" }}
   <span class="languages">
-    {{ . }}
+    <{{ .Get "languages" }}>
   </span>
-  {{ end }}
 </div>