Normal dashes

.gitignore

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

assets/sass/main.scss

@@ -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 {

content/resume/_index.md

@@ -3,119 +3,128 @@ title: "Resume"
 date: 2019-02-11T07:50:51-05:00
 draft: false
 ---
-{{% resume/section "Web Dev Projects" %}}<!--- {{{ -->
+{{% resume/section projects %}}<!--- {{{ -->
+
+<!--- RBC AML {{{ -->
+
+{{% resume/project name="AML Risk Analytics" 
+languages="Python, SQL, Tableau"  
+date="July 2025" show="true" %}}
+
+* 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.
+
+{{% /resume/project %}}
+
+<!--- 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="TypeScript, JavaScript, Node.js, React"  
-date="March 2025" show="true" %}}
+languages="Python, Django, JavaScript, React"  
+date="Oct 2022" show="true" %}}
 
-- **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.  
+- **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 }}} -->
 
-<!--- {{{ Kanban -->
-
-{{% resume/project name="Kanban Calendar" 
-url="https://github.com/Kevin-Mok/astronofty" 
-languages="TypeScript, JavaScript, React, Next.js" date="Mar 2024" 
-show="true" %}}
-
-- **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 %}}
-
-<!--- }}} Kanban -->
-
-<!--- Astronofty {{{ -->
-
-{{% 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 80%** during the demo.
-
-{{% /resume/project %}}
-
-<!--- Astronofty }}} -->
+{{% /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" %}}
+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 %}}<!--- }}} -->
+- **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 %}}<!--- {{{ -->
 
-**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  
+**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/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 %}}<!--- }}} -->
 

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>