my-site/content/resume/_index.md

title	date	draft
Resume	2019-02-11T07:50:51-05:00	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 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 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 to run in a GitHub PR environment, allowing for automated testing of all team-submitted PRs prior to merging, reducing manual intervention by 60%.
• Increased project reproducibility by taking initiative to write a reusable GitHub parameters file for the pipeline, enabling 100% reusability and ensuring consistent pipeline setups across different environments.

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{{% resume/section projects %}}

{{% resume/project name="Rarity Surf" languages="Python, Django, JavaScript, React"
date="Oct 2021" 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 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.

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{{% resume/project name="Discord Adventure Game" url="https://github.com/Kevin-Mok/astronofty" languages="Python" date="Jan 2020" show="true" %}}

• Redesigned item generation system for open source Discord game built with Python, replacing 83k-line static JSON files with dynamic item generation, achieving a 99% reduction in file size and reducing memory usage by 85%.
• Implemented modular item components to enable over 152,000 unique combinations, improving gameplay diversity and item quality.

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{{% resume/project name="Spotify Visualized" url="https://github.com/Kevin-Mok/astronofty" languages="Python, Django" date="June 2019" show="true" %}}

• Built a high-performance backend 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.

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{{% resume/section skills %}}

Python, Django, JavaScript, React, Node.js, PostgreSQL, MongoDB, Bash, Git, Linux, Command Line, Go(Lang), AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Solidity, C

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{{% 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" %}}

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{{% resume/section "References" %}}

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