Improve Rarity Surf

.gitignore

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

content/resume/_index.md

@@ -3,81 +3,78 @@ 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%**.
+- **Demonstrated leadership and collaboration** by actively 
+  contributing to **Agile** sprint planning in a 12-member team, 
+  driving improvement in sprint velocity through 
+  optimized task delegation and idea generation.
+- **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.
+- **Streamlined developer onboarding** by authoring 
+  comprehensive [project documentation](https://github.com/apache/incubator-kie-kogito-operator/blob/1534c03d1d26bec08a16608a775782bf8b305de9/docs/GUIDE_FOR_KOGITO_DEVS.md) and mentoring an 
+  incoming intern, **reducing onboarding time by 50%** and 
+  enhancing new team members' productivity within their 
+  first sprint.
+
+{{% /resume/section %}}<!--- }}} -->
+
 {{% 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="Python, Django, JavaScript, React"  
-date="Oct 2022" show="true" %}}
+languages="Python, JavaScript, React, Django"  
+date="Oct 2021" 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)**.
+- **Developed a full-stack web application** to generate rarity 
+  rankings for NFT's integrated with OpenSea's API, 
+  enabling users to **quickly identify rare NFT's** and check 
+  their listing status, **improving market research efficiency by 80%**.
+- **Reverse engineered a proprietary ranking algorithm** to 
+  mirror the leading rarity ranking site’s results, 
+  **achieving 99.75% accuracy** by 
+  utilizing data scraping techniques [with Selenium](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py), 
+  increasing the platform's trustworthiness among users.
+- **Optimized purchasing strategy** by leveraging the app to 
+  frontrun competitors in purchasing top 0.5% rarity NFTs, 
+  **boosting acquisition success rate by 90%** and allowing 
+  users to gain a competitive edge in the marketplace.
+- **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%**.
 
 {{% /resume/project %}}
 
@@ -85,46 +82,22 @@ date="Oct 2022" show="true" %}}
 
 {{% /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  
+**JavaScript**, **React**, **Python**, **Django**, Node.js, PostgreSQL, MongoDB, 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" %}}
+{{% resume/education name="University of Toronto"
+title="Computer Science Specialist — 3.84 GPA (CS). Graduated with High Distinction." date="2019 — 2024" %}}
+
+{{% /resume/section %}}<!--- }}} -->
+
+{{% resume/section "References" %}}<!--- {{{ -->
+
+{{% resume/references %}}
 
 {{% /resume/section %}}<!--- }}} -->
 

content/resume/old.txt

@@ -27,26 +27,14 @@
 languages="Python, JavaScript, React, Django"  
 date="Oct 2021" show="true" %}}
 
-- **Developed a full-stack web application** to generate rarity 
-  rankings for NFT's integrated with OpenSea's API, 
-  enabling users to **quickly identify rare NFT's** and check 
-  their listing status, **improving market research efficiency by 80%**.
-- **Reverse engineered a proprietary ranking algorithm** to 
-  mirror the leading rarity ranking site’s results, 
-  **achieving 99.75% accuracy** by 
-  utilizing data scraping techniques [with Selenium](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py), 
-  increasing the platform's trustworthiness among users.
-- **Optimized purchasing strategy** by leveraging the app to 
-  frontrun competitors in purchasing top 0.5% rarity NFTs, 
-  **boosting acquisition success rate by 90%** and allowing 
-  users to gain a competitive edge in the marketplace.
-- **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%**.
+- Web app to give rarity rankings to NFT's and check which are listed on the OpenSea marketplace using their API.
+- Reverse engineered the ranking algorithm to match the 
+  leading rarity ranking site's rankings ([scraped](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py) using 
+  Selenium) with a **discrepancy of <0.25%**. 
+- Used app to frontrun purchases of **top 0.5%** rarity NFT's 
+  against competing buyers.
+- Wrote **Django (Python)** [backend](https://github.com/Kevin-Mok/rarity-surf) to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
+- Wrote **React** [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend) with hooks to dynamically load rarity data. Styled with Tailwind.
 
 {{% /resume/project %}}
 
@@ -90,76 +78,6 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
 {{% /resume/project %}}
 
 <!--- AWS }}} -->
-
-<!--- AWS 2 {{{ -->
-
-{{% 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**.
-- **Streamlined infrastructure management** by creating 
-  Kubernetes manifest files to easily recreate server setups 
-  with persistent storage, automatic restarts, and open 
-  ports, **reducing the need for manual configuration**.
-- **Automated AWS infrastructure provisioning** by writing 
-  **Terraform** files to deploy **EC2** instances and Docker 
-  containers, **accelerating deployment times by 80%** and 
-  providing an easily reproducible infrastructure setup for 
-  future projects.
-- Improved web application accessibility and scalability by 
-  configuring Amazon Route 53’s DNS and NGINX to route 
-  subdomains to individual web apps, enabling seamless 
-  navigation between apps and reducing DNS resolution times 
-  by 25%.
-- Built a robust uptime monitoring system by writing a 
-  JavaScript server script and setting up a systemd 
-  service/timer to check and display page uptime every hour, 
-  ensuring near real-time monitoring and reducing downtime 
-  detection time by 85%.
-
-{{% /resume/project %}}
-
-<!--- AWS 2 }}} -->
-
-<!--- AWS 3 {{{ -->
-
-{{% 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**.
-- **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.
-
-{{% /resume/project %}}
-
-<!--- AWS 3 }}} -->
-
-
-<!--- Astronofty (extended) {{{ -->
-
-{{% 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 40%** during the demo, 
-  and ensuring real-time NFT data retrieval, achieving a **75% improvement in loading times**.
-
-{{% /resume/project %}}
-
-<!--- Astronofty }}} -->
-
 <!--- {{{ Spotify Graphs -->
 
 {{% resume/project name="Spotify Graphs" 

content/resume/points-plain-text.md

@@ -14,10 +14,3 @@
 3. Used app to frontrun purchases of top 0.5% rarity NFT’s against competing buyers.
 4. Wrote Django (Python) backend to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
 5. Wrote React frontend with hooks to dynamically load rarity data. Styled with Tailwind.
-
-# AWS
-1. Deployed various web apps using Docker (Compose) on an AWS EC2 Debian/Linux server.
-2. Created Kubernetes manifest files to quickly recreate my server setup with persistent storage/restarts and open ports.
-3. Created Terraform files to deploy an AWS EC2 instance and Docker containers.
-4. Used Amazon Route 53’s DNS and NGINX to route subdomains to each web application.
-5. Wrote a JavaScript server script and systemd service/timer to display the uptime of my pages every hour.

layouts/partials/base/footer.html

@@ -6,6 +6,7 @@
 
 <footer>
   <div class="container">
+    <!-- <span class="copyright">&copy; {{ .Site.LastChange.Year }} {{ .Site.Title }} - <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></span> -->
     <div id="footer-row" class="row justify-content-center">
       <span id="footer-content" class="name">
         <span id="copyright" class="col-xs-6">