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latex-resu
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| cc9d68081c |
@@ -32,7 +32,7 @@ title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" d
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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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@@ -49,47 +49,33 @@ title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" d
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{{% resume/section projects %}}<!--- {{{ -->
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{{% resume/section projects %}}<!--- {{{ -->
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<!--- AWS {{{ -->
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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](https://kevin-mok.com/server/)**
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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](https://github.com/Kevin-Mok/terraform-deploys/tree/main) 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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- **Improved web application accessibility** by
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configuring **AWS 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**.
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- **Built a uptime monitoring system** by writing a
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[JavaScript script](https://git.kevin-mok.com/Kevin-Mok/server-pages/src/branch/master/server-pages.service) and setting up a systemd
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service/timer to check and display page uptime,
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**ensuring near real-time monitoring and reducing downtime
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time by 95%**.
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{{% /resume/project %}}
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<!--- AWS }}} -->
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<!--- Rarity Surf {{{ -->
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<!--- Rarity Surf {{{ -->
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{{% resume/project name="Rarity Surf"
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{{% resume/project name="Rarity Surf"
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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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- **Architected a robust Django (Python) [backend](https://github.com/Kevin-Mok/rarity-surf)** store NFT rarity rankings in
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- **Developed a full-stack web application** to generate rarity
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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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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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- **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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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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@@ -98,7 +84,7 @@ date="Oct 2021" show="true" %}}
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{{% resume/section skills %}}<!--- {{{ -->
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{{% resume/section skills %}}<!--- {{{ -->
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AWS, Kubernetes, Terraform, Docker (Compose), Jenkins, Groovy, Go(Lang), Bash, **Linux**, **JavaScript**, **React**, **Python**, **Django**, Node.js, PostgreSQL, MongoDB, Solidity, C, **Git**, **Command Line**
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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 %}}<!--- }}} -->
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@@ -27,26 +27,14 @@
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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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- **Developed a full-stack web application** to generate rarity
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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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rankings for NFT's integrated with OpenSea's API,
|
- Reverse engineered the ranking algorithm to match the
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enabling users to **quickly identify rare NFT's** and check
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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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their listing status, **improving market research efficiency by 80%**.
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Selenium) with a **discrepancy of <0.25%**.
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- **Reverse engineered a proprietary ranking algorithm** to
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- Used app to frontrun purchases of **top 0.5%** rarity NFT's
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mirror the leading rarity ranking site’s results,
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against competing buyers.
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**achieving 99.75% accuracy** by
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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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utilizing data scraping techniques [with Selenium](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py),
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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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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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@@ -90,40 +78,6 @@ 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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|
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- **Deployed and maintained multiple web applications**
|
|
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using **Docker Compose** on **AWS EC2 Debian/Linux servers**,
|
|
||||||
ensuring consistent environments for applications handling
|
|
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**over 2,000+ monthly requests**.
|
|
||||||
- **Streamlined infrastructure management** by creating
|
|
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Kubernetes manifest files to easily recreate server setups
|
|
||||||
with persistent storage, automatic restarts, and open
|
|
||||||
ports, **reducing the need for manual configuration**.
|
|
||||||
- **Automated AWS infrastructure provisioning** by writing
|
|
||||||
**Terraform** files to deploy **EC2** instances and Docker
|
|
||||||
containers, **accelerating deployment times by 80%** and
|
|
||||||
providing an easily reproducible infrastructure setup for
|
|
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future projects.
|
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- Improved web application accessibility and scalability by
|
|
||||||
configuring Amazon Route 53’s DNS and NGINX to route
|
|
||||||
subdomains to individual web apps, enabling seamless
|
|
||||||
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
|
|
||||||
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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<!--- {{{ 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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@@ -14,10 +14,3 @@
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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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Submodule static/pdf updated: 4b32159385...404fd021d2
Reference in New Issue
Block a user