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Author SHA1 Message Date
85017c2ddc Normal dashes 2025-08-28 10:52:34 -04:00
a79019fc9f Revised resume points 2025-07-31 13:29:28 -04:00
69b3c99e6f Redo project points 2025-07-31 12:46:25 -04:00
6673b67cd8 Draft AML project/refined Red Hat points 2025-07-30 14:41:12 -04:00
00dd6b77e9 Gobcog/spotify-vis 2025-01-02 10:39:35 -05:00
2e5b5b52d8 Update 2024-12-20 12:30:37 -05:00
adcc975d23 Resume: web dev 2024-11-09 09:19:04 -05:00
5 changed files with 160 additions and 113 deletions

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*pt*
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@@ -3,105 +3,128 @@ 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 %}}<!--- {{{ -->
<!--- AWS {{{ -->
<!--- RBC AML {{{ -->
{{% resume/project name="AWS Server"
url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terraform" date="May 2024" show="true" %}}
{{% resume/project name="AML Risk Analytics"
languages="Python, SQL, Tableau"
date="July 2025" 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.
* 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 %}}
<!--- AWS }}} -->
<!--- 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" %}}
- **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 %}}<!--- {{{ -->
AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Go(Lang), Bash, **Linux**, **JavaScript**, **React**, **Python**, **Django**, Node.js, PostgreSQL, MongoDB, Solidity, C, **Git**, **Command Line**
**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 %}}<!--- }}} -->
{{% 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/section %}}<!--- }}} -->
{{% resume/section "References" %}}<!--- {{{ -->
{{% resume/references %}}
title="Computer Science Specialist - 3.84 GPA (CS). Graduated with High Distinction." date="2019 - 2024" %}}
{{% /resume/section %}}<!--- }}} -->

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@@ -52,24 +52,6 @@ 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"
@@ -90,6 +72,30 @@ 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
@@ -103,19 +109,38 @@ 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** 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%**.
- Improved web application accessibility and scalability by
configuring Amazon Route 53s 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 }}} -->
<!--- 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) {{{ -->

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@@ -20,6 +20,4 @@
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 53s DNS and NGINX to route subdomains to each web application.
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.
5. Wrote a JavaScript server script and systemd service/timer to display the uptime of my pages every hour.