---
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 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 2024" show="true" %}}

- **Developed a full-stack web application** to generate rarity 
  rankings for NFT's integrated with leading NFT 
  marketplace's (OpenSea) API, 
  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 
  **PostgreSQL**, and serve the data via GraphQL API, **ensuring low-latency access and scaling to handle 2,000+ concurrent requests**.

{{% /resume/project %}}

<!--- Rarity Surf }}} -->

<!--- Spotify Visualized {{{ -->

{{% resume/project name="Spotify Visualized" 
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, 
  utilizing Django ORM to model and manage user data 
  efficiently, processing over **10,000 tracks per library** via 
  the Spotify API.
- **Engineered and optimized database models** achieving a **50% reduction in query latency** on PostgreSQL 
  for core workflows through effective schema normalization.

{{% /resume/project %}}

<!--- 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**, **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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