Update

.gitignore

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

content/resume/_index.md

@@ -3,128 +3,105 @@ title: "Resume"
 date: 2019-02-11T07:50:51-05:00
 draft: false
 ---
-{{% 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" %}}
-
-- **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" %}}
+title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2020 — Aug 2021" %}}
 
-- **Decreased manual configuration errors by 80%** by 
+- **Reduced deployment time by 66%** by implementing a 
-  automating service discovery and dynamic config 
+  [solution](https://github.com/apache/incubator-kie-kogito-operator/commit/175a6356c5474f2360ccb8ae835e0b9b2d653cf1) for deploying locally-compiled binaries onto 
-  updates, aligning with AML goals of minimizing 
+  Kubernetes/OpenShift via command-line, **cutting average 
-  operational risk and improving data integrity.
+  deployment times from 45 minutes to 15 minutes**. 
-- **Enhanced CI pipeline reproducibility and 
+  (**Kubernetes/GoLang** used for this and three below). 
-  performance** by rewriting the Jenkins nightly 
+- **Eliminated 80% of manual configuration errors** by enabling 
-  pipeline to support automated PR-level testing with 
+  the Kubernetes operator to automatically fetch data from 
-  reusable parameters, improving report consistency 
+  deployed services and update configurations, **deprecating 
-  across environments.
+  legacy startup scripts and reducing overall startup time 
-- **Collaborated cross-functionally** with developers 
+  by 40%**.
-  and testers to maintain reliable infrastructure, 
+- **Improved application stability** by introducing startup 
-  echoing the AML role's emphasis on stakeholder 
+  probes for legacy applications with longer boot times, 
-  partnership for building robust reporting systems.
+  **resulting in a 50% reduction in startup-related failures 
-- **Improved system reliability** during production 
+  and downtime during production launches**.
-  launches by implementing startup probes for legacy 
+- **Enhanced system reliability** by refactoring probes to 
-  services, reducing downtime and enhancing stability 
+  [assign default values](https://github.com/apache/incubator-kie-kogito-operator/commit/af4977af228ec8648be28779259d4552246b656f) dynamically based on deployed YAML 
-  for automated monitoring/reporting pipelines.
+  files and fixing reconciliation issues, **increasing probe accuracy by 30%** and preventing misconfigurations.
-- **Reduced reporting deployment time by 66%** by 
+- **Increased CI pipeline efficiency** by rewriting the 
-  building a CLI-based solution to push compiled 
+  **Jenkins (Groovy)** [nightly pipeline](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88) to run in a GitHub PR 
-  binaries directly into Kubernetes/Openshift clusters, 
+  environment, allowing for automated testing of all 
-  accelerating turnaround for testing and data 
+  team-submitted PRs prior to merging, **reducing manual 
-  validation workflows.
+  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 %}}<!--- {{{ -->
+
+<!--- AWS {{{ -->
+
+{{% 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](https://kevin-mok.com/server/)** 
+  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](https://github.com/Kevin-Mok/terraform-deploys/tree/main) to deploy AWS EC2 instances and Docker 
+  containers, **accelerating deployment times by 80%** and 
+  providing an easily reproducible infrastructure setup.
+- **Improved web application accessibility** by 
+  configuring **AWS Route 53**’s DNS and **NGINX** to route 
+  subdomains to individual web apps, **enabling seamless 
+  navigation between apps**.
+- **Built a uptime monitoring system** by writing a 
+  [JavaScript script](https://git.kevin-mok.com/Kevin-Mok/server-pages/src/branch/master/server-pages.service) and setting up a systemd 
+  service/timer to check and display page uptime, 
+  **ensuring near real-time monitoring and reducing downtime 
+  time by 95%**.
+- **Optimized cloud security** by configuring AWS security 
+  groups to allow inbound HTTPS traffic, **improving system 
+  accessibility while maintaining secure data transmission**, 
+  resulting in a **50% reduction in data interference
+  attempts**.
+- **Enhanced data resilience** by automating regular backups 
+  using Amazon EBS snapshots, ensuring **99.9% uptime and data 
+  integrity** by creating consistent and reliable backups, 
+  **reducing potential data loss by 95%** in disaster scenarios.
+
+{{% /resume/project %}}
+
+<!--- AWS }}} -->
 
 {{% /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  
+AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Go(Lang), Bash, **Linux**, **JavaScript**, **React**, **Python**, **Django**, Node.js, PostgreSQL, MongoDB, Solidity, C, **Git**, **Command Line**
 
 {{% /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 %}}<!--- }}} -->
+
+{{% resume/section "References" %}}<!--- {{{ -->
+
+{{% resume/references %}}
 
 {{% /resume/section %}}<!--- }}} -->
 

content/resume/old.txt

@@ -52,6 +52,24 @@ date="Oct 2021" show="true" %}}
 
 <!--- Rarity Surf }}} -->
 
+<!--- Rarity Surf (short) {{{ -->
+
+{{% resume/project name="Rarity Surf" 
+languages="Python, JavaScript, React, Django"  
+date="Oct 2021" show="true" %}}
+
+- **Architected a robust Django (Python) [backend](https://github.com/Kevin-Mok/rarity-surf)** store NFT 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 %}}
+
+<!--- Rarity Surf (short) }}} -->
+
 <!--- Astronofty {{{ -->
 
 {{% resume/project name="Astronofty" 
@@ -72,30 +90,6 @@ show="true" %}}
 {{% resume/project name="AWS Server"
 url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terraform" date="May 2024" show="true" %}}
 
-- Deployed [various web apps](https://kevin-mok.com/server/) using **Docker** (Compose) on an 
-  **AWS EC2** Debian/**Linux** server.
-- Created **Kubernetes** [manifest files](https://github.com/Kevin-Mok/aws-minicube) to quickly recreate my server setup 
-  with persistent storage/restarts and open ports.
-- Created **Terraform** [files](https://github.com/Kevin-Mok/terraform-deploys/tree/main) 
-  to deploy an AWS EC2 instance and Docker containers.
-- Used Amazon Route 53's DNS and **NGINX** to route 
-  subdomains to each web application.
-- Wrote a **JavaScript** [server script] and [systemd service][systemd service]/[timer]
-  to display the uptime of my pages every hour.
-
-[server script]: https://git.kevin-mok.com/Kevin-Mok/server-pages/src/branch/master/server-status.js
-[systemd service]: https://git.kevin-mok.com/Kevin-Mok/server-pages/src/branch/master/server-pages.service
-[timer]: https://git.kevin-mok.com/Kevin-Mok/server-pages/src/branch/master/server-pages.timer
-
-{{% /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 
@@ -109,38 +103,19 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
   containers, **accelerating deployment times by 80%** and 
   providing an easily reproducible infrastructure setup for 
   future projects.
-- Improved web application accessibility and scalability by 
+- **Improved web application accessibility** by 
-  configuring Amazon Route 53’s DNS and NGINX to route 
+  configuring **AWS Route 53**’s DNS and **NGINX** to route 
-  subdomains to individual web apps, enabling seamless 
+  subdomains to individual web apps, **enabling seamless 
-  navigation between apps and reducing DNS resolution times 
+  navigation between apps**.
-  by 25%.
+- **Built a uptime monitoring system** by writing a 
-- Built a robust uptime monitoring system by writing a 
+  [JavaScript script](https://git.kevin-mok.com/Kevin-Mok/server-pages/src/branch/master/server-pages.service) and setting up a systemd 
-  JavaScript server script and setting up a systemd 
+  service/timer to check and display page uptime, 
-  service/timer to check and display page uptime every hour, 
+  **ensuring near real-time monitoring and reducing downtime 
-  ensuring near real-time monitoring and reducing downtime 
+  time by 95%**.
-  detection time by 85%.
 
 {{% /resume/project %}}
 
-<!--- AWS 2 }}} -->
+<!--- AWS }}} -->
-
-<!--- 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) {{{ -->

content/resume/points-plain-text.md

@@ -20,4 +20,6 @@
 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.
+5. Used AWS security groups to allow inbound HTTPS traffic.
+6. Used Amazon EBS snapshots to regularly back up server.
+6. Wrote a JavaScript server script and systemd service/timer to display the uptime of my pages every hour.