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Mobile-responsive personal website, generated using Hugo. https://kevin-mok.com/
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title date draft
Resume 2019-02-11T07:50:51-05:00 false

{{% resume/section projects %}}

{{% 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 %}}

{{% 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 %}}

{{% 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%.
  • Engineered a scalable data pipeline in Django (Python) to ingest, process, and expose NFT ranking data via GraphQL, supporting low-latency reporting and scaling to 2,000+ concurrent queries for end-user research.

{{% /resume/project %}}

{{% /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 %}}