From b4eaa5db7f2428d3af923c9ae0c6eeb361076a05 Mon Sep 17 00:00:00 2001 From: Kevin Mok Date: Wed, 5 Mar 2025 14:59:51 -0500 Subject: [PATCH] ME sniper --- content/resume/_index.md | 46 +++++++++++++++++++++++----------------- content/resume/old.md | 44 +++++++++++++++++++++----------------- 2 files changed, 51 insertions(+), 39 deletions(-) diff --git a/content/resume/_index.md b/content/resume/_index.md index d316137..102bed5 100644 --- a/content/resume/_index.md +++ b/content/resume/_index.md @@ -8,23 +8,31 @@ draft: false {{% 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" %}} {{% 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 %}} diff --git a/content/resume/old.md b/content/resume/old.md index 2d99224..41efa12 100644 --- a/content/resume/old.md +++ b/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 %}}