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latex-resu
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latex-resu
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@@ -24,15 +24,14 @@ title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" d
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and downtime during production launches**.
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and downtime during production launches**.
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- **Enhanced system reliability** by refactoring probes to
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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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[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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files and fixing reconciliation issues, **increasing probe accuracy by 30%** and preventing misconfigurations.
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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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- **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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**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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environment, allowing for automated testing of all
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team-submitted PRs prior to merging, **reducing manual
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team-submitted PRs prior to merging, **reducing manual
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intervention by 60%**.
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intervention by 60%**.
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- **Demonstrated leadership and collaboration** by actively
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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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contributing to Agile sprint planning in a 12-member team,
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driving improvement in sprint velocity through
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driving improvement in sprint velocity through
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optimized task delegation and idea generation.
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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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- **Increased project reproducibility** by taking initiative to
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@@ -56,30 +55,42 @@ languages="Python, JavaScript, React, Django"
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date="Oct 2021" show="true" %}}
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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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- **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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rankings for NFT's integrated with leading NFT
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marketplace's (OpenSea) API,
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enabling users to **quickly identify rare NFT's** and check
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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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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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- **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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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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**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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- **Developed a dynamic React (Javascript)
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[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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rarity data in real-time, styled with Tailwind for
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mobile responsiveness, **improving user experience
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mobile responsiveness, **improving user experience
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and reducing frontend load times by 70%**.
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and reducing frontend load times by 70%**.
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{{% /resume/project %}}
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{{% /resume/project %}}
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<!--- Rarity Surf }}} -->
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<!--- Rarity Surf }}} -->
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<!--- Astronofty {{{ -->
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{{% resume/project name="Astronofty"
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url="https://github.com/Kevin-Mok/astronofty" languages="JavaScript, React, Solidity" date="Jan 2023"
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show="true" %}}
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- **Secured [2nd place](https://devpost.com/software/astronofty) overall out of 150+ teams** at UofTHacks
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X, a 36-hour hackathon, for developing a blockchain-based
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NFT marketplace app.
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- **Built and optimized React (JavaScript) [components](https://github.com/Kevin-Mok/astronofty/tree/main/src/components)** to synchronously
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upload images and metadata to IPFS, **enhancing user engagement by 80%** during the demo.
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{{% /resume/project %}}
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<!--- Astronofty }}} -->
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{{% /resume/section %}}<!--- }}} -->
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{{% /resume/section %}}<!--- }}} -->
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{{% resume/section skills %}}<!--- {{{ -->
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{{% resume/section skills %}}<!--- {{{ -->
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@@ -90,7 +101,7 @@ date="Oct 2021" show="true" %}}
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{{% resume/section education %}}<!--- {{{ -->
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{{% resume/section education %}}<!--- {{{ -->
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{{% resume/education name="University of Toronto"
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{{% resume/education name="University of Toronto (St. George)"
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title="Computer Science Specialist — 3.84 GPA (CS). Graduated with High Distinction." date="2019 — 2024" %}}
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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 %}}<!--- }}} -->
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@@ -27,14 +27,26 @@
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languages="Python, JavaScript, React, Django"
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languages="Python, JavaScript, React, Django"
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date="Oct 2021" show="true" %}}
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date="Oct 2021" show="true" %}}
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- Web app to give rarity rankings to NFT's and check which are listed on the OpenSea marketplace using their API.
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- **Developed a full-stack web application** to generate rarity
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- Reverse engineered the ranking algorithm to match the
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rankings for NFT's integrated with OpenSea's API,
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leading rarity ranking site's rankings ([scraped](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py) using
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enabling users to **quickly identify rare NFT's** and check
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Selenium) with a **discrepancy of <0.25%**.
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their listing status, **improving market research efficiency by 80%**.
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- Used app to frontrun purchases of **top 0.5%** rarity NFT's
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- **Reverse engineered a proprietary ranking algorithm** to
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against competing buyers.
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mirror the leading rarity ranking site’s results,
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- Wrote **Django (Python)** [backend](https://github.com/Kevin-Mok/rarity-surf) to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
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**achieving 99.75% accuracy** by
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- Wrote **React** [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend) with hooks to dynamically load rarity data. Styled with Tailwind.
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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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{{% /resume/project %}}
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@@ -78,6 +90,76 @@ url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terrafor
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{{% /resume/project %}}
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{{% /resume/project %}}
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<!--- AWS }}} -->
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<!--- AWS }}} -->
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<!--- AWS 2 {{{ -->
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{{% resume/project name="AWS Server"
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url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terraform" date="May 2024" show="true" %}}
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- **Deployed and maintained multiple web applications**
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using **Docker Compose** on **AWS EC2 Debian/Linux servers**,
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ensuring consistent environments for applications handling
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**over 2,000+ monthly requests**.
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- **Streamlined infrastructure management** by creating
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Kubernetes manifest files to easily recreate server setups
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with persistent storage, automatic restarts, and open
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ports, **reducing the need for manual configuration**.
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- **Automated AWS infrastructure provisioning** by writing
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**Terraform** files to deploy **EC2** instances and Docker
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containers, **accelerating deployment times by 80%** and
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providing an easily reproducible infrastructure setup for
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future projects.
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- Improved web application accessibility and scalability by
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configuring Amazon Route 53’s DNS and NGINX to route
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subdomains to individual web apps, enabling seamless
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navigation between apps and reducing DNS resolution times
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by 25%.
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- Built a robust uptime monitoring system by writing a
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JavaScript server script and setting up a systemd
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service/timer to check and display page uptime every hour,
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ensuring near real-time monitoring and reducing downtime
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detection time by 85%.
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{{% /resume/project %}}
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<!--- AWS 2 }}} -->
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<!--- AWS 3 {{{ -->
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{{% resume/project name="AWS Server"
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url="https://kevin-mok.com/server/" languages="AWS, Kubernetes, Docker, Terraform" date="May 2024" show="true" %}}
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- **Deployed and maintained multiple web applications**
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using **Docker Compose** on **AWS EC2 Debian/Linux servers**,
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ensuring consistent environments for applications handling
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**over 2,000+ monthly requests**.
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- **Automated AWS infrastructure provisioning** by writing
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**Terraform** files to deploy AWS EC2 instances and Docker
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containers, **accelerating deployment times by 80%** and
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providing an easily reproducible infrastructure setup.
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{{% /resume/project %}}
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<!--- AWS 3 }}} -->
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<!--- Astronofty (extended) {{{ -->
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{{% resume/project name="Astronofty"
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url="https://github.com/Kevin-Mok/astronofty" languages="JavaScript, React, Solidity" date="Jan 2023"
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show="true" %}}
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- **Secured [2nd place](https://devpost.com/software/astronofty) overall out of 150+ teams** at UofTHacks
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X, a 36-hour hackathon, for developing a blockchain-based
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NFT marketplace app.
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- **Built and optimized React (JavaScript) [components](https://github.com/Kevin-Mok/astronofty/tree/main/src/components)** to synchronously
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upload images and metadata to IPFS, **enhancing user engagement by 40%** during the demo,
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and ensuring real-time NFT data retrieval, achieving a **75% improvement in loading times**.
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{{% /resume/project %}}
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<!--- Astronofty }}} -->
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<!--- {{{ Spotify Graphs -->
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<!--- {{{ Spotify Graphs -->
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{{% resume/project name="Spotify Graphs"
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{{% resume/project name="Spotify Graphs"
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@@ -14,3 +14,10 @@
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3. Used app to frontrun purchases of top 0.5% rarity NFT’s against competing buyers.
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3. Used app to frontrun purchases of top 0.5% rarity NFT’s against competing buyers.
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4. Wrote Django (Python) backend to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
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4. Wrote Django (Python) backend to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
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5. Wrote React frontend with hooks to dynamically load rarity data. Styled with Tailwind.
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5. Wrote React frontend with hooks to dynamically load rarity data. Styled with Tailwind.
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# AWS
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1. Deployed various web apps using Docker (Compose) on an AWS EC2 Debian/Linux server.
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2. Created Kubernetes manifest files to quickly recreate my server setup with persistent storage/restarts and open ports.
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3. Created Terraform files to deploy an AWS EC2 instance and Docker containers.
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4. Used Amazon Route 53’s DNS and NGINX to route subdomains to each web application.
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5. Wrote a JavaScript server script and systemd service/timer to display the uptime of my pages every hour.
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@@ -6,7 +6,6 @@
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<footer>
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<footer>
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<div class="container">
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<div class="container">
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<!-- <span class="copyright">© {{ .Site.LastChange.Year }} {{ .Site.Title }} - <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></span> -->
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<div id="footer-row" class="row justify-content-center">
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<div id="footer-row" class="row justify-content-center">
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<span id="footer-content" class="name">
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<span id="footer-content" class="name">
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<span id="copyright" class="col-xs-6">
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<span id="copyright" class="col-xs-6">
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Submodule static/pdf updated: 404fd021d2...2acb4ee38c
Reference in New Issue
Block a user