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Kevin Mok
2025-03-05 14:59:51 -05:00
parent 4d5d25af15
commit b4eaa5db7f
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44
content/resume/_index.md
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@@ -8,23 +8,31 @@ draft: false
<!--- Rarity Surf {{{ -->
{{% resume/project name="Rarity Surf"
languages="Python, JavaScript, React, Django"
date="" 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](https://github.com/Kevin-Mok/rarity-surf)** 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**.
- **Developed a dynamic React (Javascript)
[frontend](https://github.com/Kevin-Mok/rarity-surf-frontend)** using hooks to load
rarity data in real-time, styled with Tailwind for
mobile responsiveness, **improving user experience
and reducing frontend load times by 70%**.
languages="TypeScript, Node.js, React"
date="March 2025" show="true" %}}
- **Developed a full-stack web application** to generate
rarity rankings for NFT's, integrating with **leading
marketplace’s API** to enable users to quickly identify
rare NFT's and check their listing status, **improving
market research efficiency by 80%**.
- **Built a scalable Node.js backend** with REST API
endpoints to return NFTs based on customizable filters
such as max rank, price, and rarest traits. **Optimized
performance** to handle **3,000+ concurrent requests** by
implementing efficient data fetching and caching
mechanisms using **PostgreSQL** , ensuring low-latency
access to NFT data.
- **Developed a dynamic React frontend** to load and display
NFT's in real-time based on user-defined filters to
streamline browsing. Styled the interface using a modern,
responsive library, **reducing frontend load times by
50%**.
- **Developed a Discord bot** to notify users of profitable
resale opportunities by leveraging historical sales data
to assess deal quality. This feature **increased user
engagement by 80%** and provided a seamless way for users
to stay updated on market opportunities.
{{% /resume/project %}}
@@ -33,7 +41,8 @@ date="" show="true" %}}
<!--- Astronofty {{{ -->
{{% resume/project name="Astronofty"
url="https://github.com/Kevin-Mok/astronofty" languages="JavaScript, React, Solidity" date=""
url="https://github.com/Kevin-Mok/astronofty"
languages="JavaScript, React, Solidity" date="Jan 2023"
show="true" %}}
- **Secured [2nd place](https://devpost.com/software/astronofty) overall out of 150+ teams** at UofTHacks
@@ -85,7 +94,6 @@ title="Cloud/Software Engineer Intern" languages="Kubernetes, GoLang, Jenkins" d
{{% /resume/section %}}<!--- }}} -->
{{% /resume/section %}}<!--- }}} -->
{{% resume/section skills %}}<!--- {{{ -->

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content/resume/old.md
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@@ -58,26 +58,30 @@ date="Oct 2021" show="true" %}}
languages="Typescript, Node.js, React"
date="" show="true" %}}
- Developed a full-stack web application to generate rarity rankings for NFT’s integrated with leading NFT marketplace’s (Magic
Eden) API, enabling users to quickly identify rare NFT’s and check their listing status, improving market research efficiency by 80%.
- fetch metadata from either IPFS or website in parallel processes to create rarity
rankings as soon as metadata revealed
- reverse engineered algorithm for rarity rankings for NFT's based on article from
marketplace about their in-house statistical rarity
ranking
- created Prisma schema for PostgreSQL for database to store NFT data
- Node.js backend with API endpoints to return NFT's based
on max rank/price along with rarest traits
- lowest prices for rarity percentile to see if good deal
- fetch all listings from leading marketplace (Magic Eden) to be
able to identify which rare NFT's are on sale and be able
to filter based on max price/filter
- store previous sales data to check whether a buy at rarity
percentile is a good deal
- React FE to dynamically load NFT's based on rarity
rank/price filter with ability to hide seen ones
- Discord bot to notify you when customizable profitable resale
opportunity comes up based on rarity level/price
- **Developed a full-stack web application** to generate
rarity rankings for NFT's, integrating with **leading
marketplace’s API** to enable users to quickly identify
rare NFT's and check their listing status, **improving
market research efficiency by 80%**.
- **Built a scalable Node.js backend** with REST API
endpoints to return NFTs based on customizable filters
such as max rank, price, and rarest traits. **Optimized
performance** to handle **3,000+ concurrent requests** by
implementing efficient data fetching and caching
mechanisms, ensuring low-latency access to NFT data.
- **Developed a dynamic React frontend** to load and display
NFT's in real-time based on user-defined filters to
streamline browsing. Styled the interface using **Tailwind
CSS** for a responsive and modern design, **reducing
frontend load times by 50%**.
- **Developed a Discord bot** to notify users of profitable
resale opportunities by leveraging historical sales data
to assess deal quality. This feature **increased user
engagement by 80%** and provided a seamless way for users
to stay updated on market opportunities.
- Designed and implemented a **PostgreSQL schema** for to
efficiently store NFT data, including metadata, rarity
scores, and historical sales data.
{{% /resume/project %}}