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rbc-aml
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resume-it-
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.gitignore
vendored
1
.gitignore
vendored
@@ -4,7 +4,6 @@ resources/_gen/
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themes/base16*
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*.pdf
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*pt*
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commit-msg.txt
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.hugo_build.lock
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@@ -104,7 +104,7 @@ body {
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background-color: $background-color;
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color: $color;
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// line-height: 1.5;
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line-height: 1.57;
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line-height: 1.59;
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// font-size: 100%;
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// font-size: 15px;
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font-size: 17px;
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@@ -578,7 +578,7 @@ header {// {{{
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// }
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}// }}}
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h2 {// {{{
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color: $base-orange;
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//color: $base-orange;
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margin-top: .5rem;
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font-size: 1em;
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@@ -639,15 +639,25 @@ header {// {{{
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}
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.project-header {
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// margin-bottom: .6em;
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// margin-bottom: .1em;
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display: flex;
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align-items: baseline;
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justify-content: space-between;
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margin-bottom: 5px;
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}
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.project-date {
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margin-left: 1em;
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}
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.project-title {
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// color: $base-blue;
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color: black;
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display: inline;
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margin-right: 0.5em;
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}
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.project-title span {
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display: inline;
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margin-left: 0.5em;
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font-weight: normal;
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}
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.project-link {
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@@ -709,8 +719,10 @@ header {// {{{
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}
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.languages {
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// font-style: italic;
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// font-size: .9em;
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font-weight: normal;
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font-style: normal;
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margin-left: 0.5em;
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color: $base03;
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}
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.institution {
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@@ -3,81 +3,85 @@ title: "Resume"
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date: 2019-02-11T07:50:51-05:00
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draft: false
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---
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{{% resume/section projects %}}<!--- {{{ -->
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{{% resume/section "Work Experience" %}}<!--- {{{ -->
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<!--- RBC AML {{{ -->
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{{% resume/work-experience name="Red Hat"
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title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2022 — Aug 2023" %}}
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{{% resume/project name="AML Risk Analytics"
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languages="Python, SQL, Tableau"
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date="July 2025" show="true" %}}
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- **Provided Tier 1 and Tier 2 support**, resolving
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user-reported issues with CI/CD pipelines and Kubernetes
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environments, resulting in a **40% faster average response
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time**.
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- **Diagnosed and resolved 80% of configuration
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errors** in Kubernetes deployments by automating data
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fetching and validation, **reducing system downtime
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by 40%** and improving reliability for end-users.
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- **Reduced deployment-related support tickets by 66%**
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by developing a CLI tool to automate Kubernetes
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binary deployments, with documented troubleshooting
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procedures that cut resolution time from 45 to 15
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minutes.
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- **Decreased configuration error escalations by 30%**
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through dynamic probe defaults and created knowledge
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base articles enabling Tier 1 support to resolve most
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probe issues independently.
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- **Authored clear, user-friendly documentation** that
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translated complex technical processes into
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step-by-step guides, **accelerating onboarding by
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50%** and enabling non-technical stakeholders to
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self-serve.
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- **Collaborated with QA and DevOps teams** to document
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root causes of startup failures in legacy systems,
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implementing dynamic probes that **cut production
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launch issues by 50%**.
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* Built an end-to-end AML simulation using **Python**,
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generating **9M+ records** across customers,
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transactions, and alerts to mimic real-world
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financial behavior and suspicious activity patterns.
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* Wrote advanced **SQL (CTEs + joins)** to classify
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**high-risk customers**, calculate alert counts, and
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filter transactions over the past 90 days with
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aggregated metrics.
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* Engineered a **risk scoring model** in Python
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using transaction thresholds and alert volume to
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classify customers as Elevated or Critical risk.
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* Designed **interactive Tableau dashboards** (Risk
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Heatmap, Alert Efficiency, Risk vs. Avg Amount) to
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visualize cross-country AML exposure and alert
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effectiveness.
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- **Developed KPI-ready metrics** (alert rate, avg USD
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exposure, transaction volume) to drive AML
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performance reporting and enable cross-country risk
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comparisons.
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- **Normalized multi-currency transaction data** to
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ensure consistent exposure calculations across USD,
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CAD, and EUR, supporting reliable AML metric
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aggregation.
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{{% /resume/section %}}<!--- }}} -->
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{{% resume/section "Web Dev Projects" %}}<!--- {{{ -->
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<!--- AWS {{{ -->
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{{% resume/project name="AWS Server"
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url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terraform" date="May 2024" show="true" %}}
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- **Deployed and maintained multiple web applications**
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using **Docker Compose** on **AWS EC2 Debian/Linux servers**,
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ensuring consistent environments for applications handling
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**over 2,000+ monthly requests**.
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- **Built a uptime monitoring system** by writing a
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JavaScript script and setting up a systemd
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service/timer to check and display page uptime,
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**ensuring near real-time monitoring and reducing downtime
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time by 95%**.
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- **Automated AWS infrastructure provisioning** by writing
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**Terraform** files to deploy AWS EC2 instances and Docker
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containers, **accelerating deployment times by 80%** and
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providing an easily reproducible infrastructure setup.
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- **Improved web application accessibility** by
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configuring **AWS Route 53**’s DNS and **NGINX** to route
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subdomains to individual web apps, **enabling seamless
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navigation between apps**.
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{{% /resume/project %}}
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<!--- RBC AML }}} -->
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<!--- Spotify Visualized {{{ -->
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{{% resume/project name="Spotify Visualized"
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url="https://github.com/Kevin-Mok/astronofty" languages="Python, Django" date="June 2023"
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show="true" %}}
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- **Built a high-performance Python backend** using
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Django and PostgreSQL to process 10K+ data records
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per user, optimizing ingestion pipelines via API
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integration and ORM modeling.
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- **Engineered normalized database schemas** to
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streamline query workflows, achieving a **50%
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reduction in PostgreSQL latency** for high-volume
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reporting tasks.
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- **Visualized user music libraries in Tableau**,
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creating dashboards that grouped tracks by **artist
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and genre**, enabling users to explore listening
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patterns and discover trends in their Spotify data.
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{{% /resume/project %}}
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<!--- Spotify Visualized }}} -->
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<!--- AWS }}} -->
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<!--- Rarity Surf {{{ -->
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{{% resume/project name="Rarity Surf"
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languages="Python, Django, JavaScript, React"
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date="Oct 2022" show="true" %}}
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languages="TypeScript, JavaScript, Node.js, React"
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date="March 2025" show="true" %}}
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- **Built a full-stack reporting tool** using React,
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Django, and **PostgreSQL** to analyze
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structured/unstructured metadata from APIs, enabling
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real-time rarity scoring and improving insight
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delivery by **80%**.
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- **Optimized SQL query performance** within a
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Django-based pipeline, processing NFT ranking data at
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scale and exposing results via GraphQL with
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**low-latency response times under high concurrency
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(2,000+ queries)**.
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- **Provided direct user support** for a live NFT analytics
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platform, resolving front-end filtering bugs and API
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integration issues in real-time.
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- **Developed a full-stack web application with PostgreSQL database** to analyze NFT rarity rankings, increasing market research efficiency by 80%.
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- **Translated user requests into technical features**, implementing real-time PostgreSQL-powered filters that improved usability for non-technical traders.
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- **Debugged and optimized API performance** under
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load, reducing latency by 50% and enabling **3,000+
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concurrent users** to filter NFT data
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seamlessly, addressing real-time customer usability
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issues.
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{{% /resume/project %}}
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@@ -85,46 +89,25 @@ date="Oct 2022" show="true" %}}
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{{% /resume/section %}}<!--- }}} -->
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||||
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{{% resume/section "Work Experience" %}}<!--- {{{ -->
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||||
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{{% resume/work-experience name="Red Hat"
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title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2022 - Aug 2023" %}}
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||||
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- **Decreased manual configuration errors by 80%** by
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automating service discovery and dynamic config
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updates, aligning with AML goals of minimizing
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operational risk and improving data integrity.
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- **Enhanced CI pipeline reproducibility and
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performance** by rewriting the Jenkins nightly
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pipeline to support automated PR-level testing with
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reusable parameters, improving report consistency
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across environments.
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- **Collaborated cross-functionally** with developers
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and testers to maintain reliable infrastructure,
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echoing the AML role's emphasis on stakeholder
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partnership for building robust reporting systems.
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- **Improved system reliability** during production
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launches by implementing startup probes for legacy
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services, reducing downtime and enhancing stability
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for automated monitoring/reporting pipelines.
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- **Reduced reporting deployment time by 66%** by
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||||
building a CLI-based solution to push compiled
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binaries directly into Kubernetes/Openshift clusters,
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||||
accelerating turnaround for testing and data
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validation workflows.
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||||
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||||
{{% /resume/section %}}<!--- }}} -->
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||||
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||||
{{% resume/section skills %}}<!--- {{{ -->
|
||||
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||||
**Python**, **SQL**, **PostgreSQL**, **Tableau**, **MongoDB**, **JavaScript**, Django, **React**, Bash, **Git**, **Linux**, **Command Line**, Go(Lang), AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Solidity, C
|
||||
- **IT Support Skills**: Tier 1/2 Troubleshooting, Incident
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||||
Response, Jira, Microsoft 365, VPN, Log Analysis, Knowledge Base Writing, Root Cause
|
||||
Investigation
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||||
- **Customer Support**: Cross-team Collaboration,
|
||||
Communication, User Training, Documentation
|
||||
- **Programming Languages**: Python, Go, JavaScript,
|
||||
TypeScript
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||||
- **Web Development**: AWS, PostgreSQL, Linux, React, Django
|
||||
|
||||
{{% /resume/section %}}<!--- }}} -->
|
||||
|
||||
{{% resume/section education %}}<!--- {{{ -->
|
||||
|
||||
{{% resume/education name="University of Toronto (St. George)"
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||||
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" %}}
|
||||
|
||||
- **Relevant Coursework**: Computer Networking, Databases, Operating Systems
|
||||
|
||||
{{% /resume/section %}}<!--- }}} -->
|
||||
|
||||
|
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39
content/resume/notes.md
Normal file
39
content/resume/notes.md
Normal file
@@ -0,0 +1,39 @@
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# ME Sniper
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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
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## Old
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- **Developed a full-stack web application** to generate rarity
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rankings for NFT's integrated with leading NFT
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marketplace's (OpenSea) API,
|
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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
|
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**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%**.
|
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|
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## New
|
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- 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%.
|
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- fetch metadata from either IPFS or website in parallel processes to create rarity
|
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rankings as soon as metadata revealed
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- reverse engineered algorithm for rarity rankings for NFT's based on article from
|
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marketplace about their in-house statistical rarity
|
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ranking
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- created Prisma schema for PostgreSQL for database to store NFT data
|
||||
- Node.js backend with API endpoints to return NFT's based
|
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on max rank/price along with rarest traits
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- lowest prices for rarity percentile to see if good deal
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- 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
|
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- store previous sales data to check whether a buy at rarity
|
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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
|
||||
@@ -52,6 +52,41 @@ 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"
|
||||
@@ -142,7 +177,6 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
|
||||
|
||||
<!--- AWS 3 }}} -->
|
||||
|
||||
|
||||
<!--- Astronofty (extended) {{{ -->
|
||||
|
||||
{{% resume/project name="Astronofty"
|
||||
@@ -2,9 +2,8 @@
|
||||
<div class="row project-header">
|
||||
<div class="col-8 text-left">
|
||||
<h2 class="project-title">
|
||||
{{ .Get "name" }}
|
||||
{{ .Get "name" }} <span class="languages"><{{ .Get "languages" }}></span>
|
||||
</h2>
|
||||
<span><{{ .Get "languages" }}></span>
|
||||
</div>
|
||||
<div class="col-4 text-right date">{{ .Get "date" }}</div>
|
||||
</div>
|
||||
|
||||
Submodule static/pdf updated: 6d0677da34...c29fac97cb
Reference in New Issue
Block a user