Typescript(Node.js)/Golang/Solidity/Clarity/Ethereum/Stacks/Bitcoin 1. Developed a leverage yield farming service on the Stacks blockchain, allowing users to maximize their yield rewards through strategic positions and risk management. 2. Designed and implemented liquidity services on the Bitcoin Lightning Network, enabling fast and cost-effective transactions for users. 3. Conducted in-depth research on Ethereum smart contracts, exploring various use cases. Collaborated with cross-functional teams to design and develop the backend and secure smart contract solutions.

Typescript/ethers.js/Solidity/express.js 1. Designed and built a GameFi NFT marketplace from scratch, achieving a daily active user count of 3000 within a short timeframe. 2. Implemented auction systems for NFT trading, allowing users to buy, sell, and bid on game NFTs securely and efficiently. 3. Developed a game NFT management system to handle asset ownership, transfer, and storage securely on the blockchain. 4. Utilized Solidity for smart contract development, including the implementation of NFT standards such as ERC721 and ERC1155.

Go/Typescript(Nodejs)/etherjs/MongoDB/MySQL/Redis 1. Built and deployed an NFT marketplace for buying, selling, and bidding on NFTs. 2. Designed and implemented smart contracts for NFT issuance, including ERC721 and ERC155 contracts. Developed auction and blind box contracts for NFT sales. 3. Designed and implemented NFT brand management features.

Python/C#/Tensorflow/Keras/OpenCV 1. Developed an image processing and computer vision system for detecting defects in contact lenses using U-Net and ResNet. 2. Implemented machine learning algorithms using TensorFlow and Keras for image classification and defect detection. 3. Utilized OpenCV for image preprocessing and post-processing tasks. 4. Achieved a significant improvement in defect detection accuracy from 71% to 77% through continuous refinement of the AI models. Ported the defect detection service from Python to C# for on-device deployment, improving efficiency and reducing latency. 5. Collaborated with cross-functional teams, including product managers and quality assurance, to ensure the quality and accuracy of the defect detection service.