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6f4d260885 latex-resume-aws-web-dev 2024-10-01 14:20:48 -04:00
5 changed files with 85 additions and 134 deletions

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

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@@ -3,81 +3,92 @@ title: "Resume"
date: 2019-02-11T07:50:51-05:00 date: 2019-02-11T07:50:51-05:00
draft: false 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 %}}<!--- {{{ --> {{% resume/section projects %}}<!--- {{{ -->
<!--- RBC AML {{{ --> <!--- AWS {{{ -->
{{% resume/project name="AML Risk Analytics" {{% resume/project name="AWS Server"
languages="Python, SQL, Tableau" url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terraform" date="May 2024" show="true" %}}
date="July 2025" show="true" %}}
* Built an end-to-end AML simulation using **Python**, - **Deployed and maintained [multiple web applications](https://kevin-mok.com/server/)**
generating **9M+ records** across customers, using **Docker Compose** on **AWS EC2 Debian/Linux servers**,
transactions, and alerts to mimic real-world ensuring consistent environments for applications handling
financial behavior and suspicious activity patterns. **over 2,000+ monthly requests**.
* Wrote advanced **SQL (CTEs + joins)** to classify - **Automated AWS infrastructure provisioning** by writing
**high-risk customers**, calculate alert counts, and [**Terraform** files](https://github.com/Kevin-Mok/terraform-deploys/tree/main) to deploy AWS EC2 instances and Docker
filter transactions over the past 90 days with containers, **accelerating deployment times by 80%** and
aggregated metrics. providing an easily reproducible infrastructure setup.
* Engineered a **risk scoring model** in Python - **Improved web application accessibility** by
using transaction thresholds and alert volume to configuring **AWS Route 53**s DNS and **NGINX** to route
classify customers as Elevated or Critical risk. subdomains to individual web apps, **enabling seamless
* Designed **interactive Tableau dashboards** (Risk navigation between apps**.
Heatmap, Alert Efficiency, Risk vs. Avg Amount) to - **Built a uptime monitoring system** by writing a
visualize cross-country AML exposure and alert [JavaScript script](https://git.kevin-mok.com/Kevin-Mok/server-pages/src/branch/master/server-pages.service) and setting up a systemd
effectiveness. service/timer to check and display page uptime,
- **Developed KPI-ready metrics** (alert rate, avg USD **ensuring near real-time monitoring and reducing downtime
exposure, transaction volume) to drive AML time by 95%**.
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 %}} {{% /resume/project %}}
<!--- RBC AML }}} --> <!--- AWS }}} -->
<!--- 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 {{{ --> <!--- Rarity Surf {{{ -->
{{% resume/project name="Rarity Surf" {{% resume/project name="Rarity Surf"
languages="Python, Django, JavaScript, React" languages="Python, JavaScript, React, Django"
date="Oct 2022" show="true" %}} 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%**.
- **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 %}} {{% /resume/project %}}
@@ -85,46 +96,22 @@ date="Oct 2022" show="true" %}}
{{% /resume/section %}}<!--- }}} --> {{% /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 %}}<!--- {{{ --> {{% 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 %}}<!--- }}} -->
{{% resume/section education %}}<!--- {{{ --> {{% resume/section education %}}<!--- {{{ -->
{{% resume/education name="University of Toronto (St. George)" {{% resume/education name="University of Toronto"
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 %}}<!--- }}} --> {{% /resume/section %}}<!--- }}} -->

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@@ -124,42 +124,6 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
<!--- AWS 2 }}} --> <!--- 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 --> <!--- {{{ Spotify Graphs -->
{{% resume/project name="Spotify Graphs" {{% resume/project name="Spotify Graphs"

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@@ -6,6 +6,7 @@
<footer> <footer>
<div class="container"> <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"> <div id="footer-row" class="row justify-content-center">
<span id="footer-content" class="name"> <span id="footer-content" class="name">
<span id="copyright" class="col-xs-6"> <span id="copyright" class="col-xs-6">