Developed an information bot for Twitter, from conception through to deployment, using the Twitter API, Flask for backend management, and React for developing an intuitive dashboard interface. This solution was designed to automate responses while maintaining a high quality of humanized interactions, aiming to improve brand engagement and compliance with anti-spam policies.Implemented a comprehensive dashboard for monitoring bot activities and user engagements, integrating OpenAI’s GPT API for content generation and sentiment analysis, and using Next.js for the front-end to ensure ease of use by the marketing team.Ensured the bot provides positive, meaningful user responses, significantly enhancing user interaction quality and brand image. This system is set to be deployed soon by the marketing team, projected to handle hundreds of daily interactions while reflecting DreamSchool’s commitment to sustainability and ethical AI use.

Streamlined operational workflow for day-to-day trade booking with full-stack web dashboard to display centralized birds-eye tabulated view of disputed trade info from disparate FXPB and MTM platforms, supporting pseudo real-time updates of data, and searching, filtering, sorting, column drag&drop, conditional highlighting.

Spearheaded the design and implementation of the "Potato Audit" software, a fully automated auditing tool using Python, Selenium for automation tasks, and React for developing a user-friendly front-end interface accessible by non-technical audit staff.Reduced financial announcement processing time from several days to under 10 minutes and enhanced invoice extraction accuracy of similar formats from manual reviews to automated 98% accuracy, handling over 170 invoices under six minutes.Engineered a new systematic staff booking system to minimize booking errors and enhance resource management efficiency. This interface, developed using Flask and React, ensures ease of use and has been critically acclaimed by non-technical users for its intuitive design.

• Developed and optimized dashboards analyzing Ethereum (ETH) Staking, Smart Money holdings and crypto market trends using Dune and Nansen SQL; presented in weekly investment meeting for fund management.• Streamlined data retrieval and analysis workflows by integrating various API providers such as Etherscan, CoinMarketCap, Deribit, Mboum Finance using Python/Power Query – example data usage in VIX Risk-Parity strategies.• Researched and backtested AI-powered algorithmic trading with optimized parameters on TradingView.• Authored weekly market analysis for ETH Staking and compiled monthly newsletter for qualified investors with Pioneer Asset Management (licensed virtual asset manager, Hong Kong).• Refined and curated two staking fund teaser materials in English and Chinese for Pioneer and Prime Aisa, as well as marketing decks and FAQ documentations for Jasper Vault (V2V DeFi Advisory at jaspervault.io powered by ERC-4337 and ERC-5484) and Jasper Prime Capital; used by CEO for pitching to retail, institutional investors and family offices.• Engaged in self-directed learning by implementing a mini private Ethereum blockchain with Python, Geth and Flask, as well as programming in Solidity with CryptoZombies.• Enhanced understanding of crypto space through active market research, gaining insights into compliance and regulation issues surrounding SEC lawsuits about unregistered securities offering, MEV mechanisms, etc.