105 lines
5.2 KiB
Markdown
105 lines
5.2 KiB
Markdown
---
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title: "Resume"
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date: 2019-02-11T07:50:51-05:00
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draft: false
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---
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{{% resume/section "Work Experience" %}}<!--- {{{ -->
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{{% resume/work-experience name="Red Hat"
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title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" date="May 2020 — Aug 2021" %}}
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- **Reduced deployment time by 66%** by implementing a
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[solution](https://github.com/apache/incubator-kie-kogito-operator/commit/175a6356c5474f2360ccb8ae835e0b9b2d653cf1) for deploying locally-compiled binaries onto
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Kubernetes/OpenShift via command-line, **cutting average
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deployment times from 45 minutes to 15 minutes**.
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(**Kubernetes/GoLang** used for this and three below).
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- **Eliminated 80% of manual configuration errors** by enabling
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the Kubernetes operator to automatically fetch data from
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deployed services and update configurations, **deprecating
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legacy startup scripts and reducing overall startup time
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by 40%**.
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- **Improved application stability** by introducing startup
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probes for legacy applications with longer boot times,
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**resulting in a 50% reduction in startup-related failures
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and downtime during production launches**.
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- **Enhanced system reliability** by refactoring probes to
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[assign default values](https://github.com/apache/incubator-kie-kogito-operator/commit/af4977af228ec8648be28779259d4552246b656f) dynamically based on deployed YAML
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files and fixing reconciliation issues, **increasing probe
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accuracy by 30%** and preventing misconfigurations.
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- **Increased CI pipeline efficiency** by rewriting the
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**Jenkins (Groovy)** [nightly pipeline](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88) to run in a GitHub PR
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environment, allowing for automated testing of all
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team-submitted PRs prior to merging, **reducing manual
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intervention by 60%**.
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- **Demonstrated leadership and collaboration** by actively
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contributing to **Agile** sprint planning in a 12-member team,
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driving improvement in sprint velocity through
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optimized task delegation and idea generation.
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- **Increased project reproducibility** by taking initiative to
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write a [reusable GitHub parameters file](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88#diff-7d2c018dafbccec859077d19bf1ade53ec9c7649f235528ce89f5632b109f7e6) for the pipeline,
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**enabling 100% reusability** and ensuring consistent pipeline
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setups across different environments.
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- **Streamlined developer onboarding** by authoring
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comprehensive [project documentation](https://github.com/apache/incubator-kie-kogito-operator/blob/1534c03d1d26bec08a16608a775782bf8b305de9/docs/GUIDE_FOR_KOGITO_DEVS.md) and mentoring an
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incoming intern, **reducing onboarding time by 50%** and
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enhancing new team members' productivity within their
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first sprint.
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{{% /resume/section %}}<!--- }}} -->
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{{% resume/section projects %}}<!--- {{{ -->
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<!--- Rarity Surf {{{ -->
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{{% resume/project name="Rarity Surf"
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languages="Python, JavaScript, React, Django"
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date="Oct 2021" show="true" %}}
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- **Developed a full-stack web application** to generate rarity
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rankings for NFT's integrated with OpenSea's API,
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enabling users to **quickly identify rare NFT's** and check
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their listing status, **improving market research efficiency by 80%**.
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- **Reverse engineered a proprietary ranking algorithm** to
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mirror the leading rarity ranking site’s results,
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**achieving 99.75% accuracy** by
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utilizing data scraping techniques [with Selenium](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py),
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increasing the platform's trustworthiness among users.
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- **Optimized purchasing strategy** by leveraging the app to
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frontrun competitors in purchasing top 0.5% rarity NFTs,
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**boosting acquisition success rate by 90%** and allowing
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users to gain a competitive edge in the marketplace.
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- **Architected a robust Django (Python) [backend](https://github.com/Kevin-Mok/rarity-surf)** to fetch and process
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NFT metadata from IPFS, store rarity rankings in
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**PostgreSQL**, and serve the data via GraphQL API, **ensuring low-latency access and scaling to handle 2,000+ concurrent requests**.
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- **Developed a dynamic React [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend)** using hooks to load
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rarity data in real-time, styled with Tailwind for
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mobile responsiveness, **improving user experience
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and reducing frontend load times by 70%**.
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{{% /resume/project %}}
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<!--- Rarity Surf }}} -->
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{{% /resume/section %}}<!--- }}} -->
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{{% resume/section skills %}}<!--- {{{ -->
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**JavaScript**, **React**, **Python**, **Django**, 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 %}}<!--- }}} -->
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{{% resume/section education %}}<!--- {{{ -->
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{{% resume/education name="University of Toronto"
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title="Computer Science Specialist — 3.84 GPA (CS). Graduated with High Distinction." date="2019 — 2024" %}}
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{{% /resume/section %}}<!--- }}} -->
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{{% resume/section "References" %}}<!--- {{{ -->
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{{% resume/references %}}
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{{% /resume/section %}}<!--- }}} -->
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<!-- vim: fdm=marker -->
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