---
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" %}}

- **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 %}}<!--- {{{ -->

**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 %}}<!--- }}} -->

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