Draft AML project/refined Red Hat points

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@@ -4,6 +4,7 @@ resources/_gen/
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+*pt*
 
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content/resume/_index.md

@@ -3,47 +3,30 @@ 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%**.
-- **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.
-
-{{% /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 segment **high-risk customers**, calculate alert counts, and filter transactions over the past 90 days with aggregated exposure metrics.
+* Engineered a custom **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.
+* Normalized multi-currency data and integrated key AML metrics like **alert rate (%)**, **avg USD amount**, and **transaction volume** for actionable reporting.
+- **Built KPI-ready metrics** (alert rate, avg USD exposure, transaction volume) to support AML performance reporting and enable cross-country risk comparisons.
+
+{{% /resume/project %}}
+
+<!--- RBC AML }}} -->
+
 <!--- Rarity Surf {{{ -->
 
 {{% resume/project name="Rarity Surf" 
 languages="Python, Django, JavaScript, React"  
-date="Oct 2021" show="true" %}}
+date="Oct 2024" show="true" %}}
 
 - **Developed a full-stack web application** to generate rarity 
   rankings for NFT's integrated with leading NFT 
@@ -58,24 +41,10 @@ date="Oct 2021" show="true" %}}
 
 <!--- Rarity Surf }}} -->
 
-<!--- {{{ Gobcog -->
-
-{{% resume/project name="Discord Adventure Game" 
-url="https://github.com/Kevin-Mok/astronofty" languages="Python" date="Jan 2020" 
-show="true" %}}
-
-- [**Redesigned item generation system**](https://github.com/Kevin-Mok/gobcog/pull/5) for open source Discord game 
-  built with **Python**, replacing 83k-line static JSON files with dynamic item generation, achieving a **99% reduction** in file size and reducing memory usage by **85%**.
-- **Implemented modular item components** to enable over **152,000 unique combinations**, improving gameplay diversity and item quality.
-
-{{% /resume/project %}}
-
-<!--- }}} Gobcog -->
-
 <!--- Spotify Visualized {{{ -->
 
 {{% resume/project name="Spotify Visualized" 
-url="https://github.com/Kevin-Mok/astronofty" languages="Python, Django" date="June 2019" 
+url="https://github.com/Kevin-Mok/astronofty" languages="Python, Django" date="June 2022" 
 show="true" %}}
 
 - **Built a [high-performance backend](https://github.com/Kevin-Mok/spotify-lib-vis)** in Python with Django, 
@@ -87,14 +56,26 @@ show="true" %}}
 
 {{% /resume/project %}}
 
-<!--- Astronofty }}} -->
+<!--- Spotify Visualized }}} -->
 
+{{% /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" %}}
+
+* **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.
+* **Decreased manual configuration errors by 80%** by automating service discovery and dynamic config updates, aligning with AML’s goal of minimizing operational risk and improving data integrity.
+* **Improved system reliability** during production launches by implementing startup probes for legacy services, reducing downtime and enhancing stability for automated monitoring/reporting pipelines.
+* **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.
 
 {{% /resume/section %}}<!--- }}} -->
 
 {{% resume/section skills %}}<!--- {{{ -->
 
-**Python**, **Django**, **JavaScript**, **React**, Node.js, 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 %}}<!--- }}} -->
 
@@ -105,10 +86,4 @@ title="Computer Science Specialist — 3.84 GPA (CS). Graduated with High Distin
 
 {{% /resume/section %}}<!--- }}} -->
 
-{{% resume/section "References" %}}<!--- {{{ -->
-
-{{% resume/references %}}
-
-{{% /resume/section %}}<!--- }}} -->
-
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