ME sniper

content/resume/_index.md

@@ -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 %}}<!--- {{{ -->

content/resume/old.md

@@ -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 %}}