- Rewrote the **Jenkins (Groovy)** [nightly pipeline](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88) to run in a GitHub
PR using a trigger keyword to test all the team's submitted PR's
before merging to the main branch.
- Took on tasks and contributed ideas in **Agile sprint** planning meetings in a team of 12 people.
- Took initiative to write [file](https://github.com/apache/incubator-kie-kogito-pipelines/commit/4c83f1aecdea2c1ba2796b79839a90d4083dce88#diff-7d2c018dafbccec859077d19bf1ade53ec9c7649f235528ce89f5632b109f7e6)
to define the GitHub parameters for the above pipeline so that it
can be recreated easily.
@ -38,7 +39,7 @@ date="Oct 2021" show="true" %}}
- Web app to give rarity rankings to NFT's and check which are listed on the OpenSea marketplace using their API.
- Reverse engineered the ranking algorithm to match the
leading rarity ranking site's rankings ([scraped](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py) using
Selenium) with a **discrepancy of <0.25%**.
**Selenium**) with a **discrepancy of <0.25%**.
- Used app to frontrun purchases of **top 0.5%** rarity NFT's
against competing buyers.
- 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.
- Created for a 36 hour hackathon (UofTHacks X) where it [**came 2nd overall**](https://devpost.com/software/astronofty).
- Created and deployed a smart contract with **Solidity** on
the Ethereum blockchain to create/buy/sell NFT's.
- Wrote **React** [components](https://github.com/Kevin-Mok/astronofty/tree/main/src/components) to synchronously upload images and metadata to IPFS and fetch and show NFT's.
- Web app to visualize user's library and listening
history from Spotify.
- [Fetched and organized](https://github.com/Kevin-Mok/spotify-lib-vis/blob/master/api/utils.py) user data from Spotify API into PostgreSQL database with **Django (Python)** backend.
- Created and tested various relational database schemas to maximize
efficiency for use cases.
- Generated various charts to visualize the artists and genres