Focus: End-to-end trading architecture, wallet solution design with integrated capital management, and risk control for ZONE Wallet: Achievements: - Comprehensive Trading Architecture: Designed the end-to-end trading process for ZONE Wallet, encompassing crypto and fiat transactions, underlying transaction mechanisms, currency pricing logic, and automated invoice generation. Combined hedging mechanisms to ensure efficient capital use and prevent company losses in managing user funds. - Wallet Infrastructure Migration and Security Enhancement: Led the migration of the company's wallet infrastructure from CYBAVO to Fireblocks, building a complete foundational logic for wallet architecture from scratch. This involved designing the cash flow framework, whitelist and permissions policies, transaction policies, and AML policies, optimizing the efficiency and security of capital management. - KYC and Risk Control Implementation: Established a full KYC process for ZONE Wallet, incorporating gray, black, and freeze list controls to ensure rigorous risk management. This enabled the company to conduct user transactions in a compliant and secure manner, aligning with regulatory standards.

Focus: Enhance wallet-related services on the BTSE exchange, including Spot, Futures, Earn wallets, and transaction history. Achievements: - Planned the P&L service for Spot, Futures, and Earn wallets, enabling users to track each investment’s performance. This increased the conversion rate from the P&L page to the deposit page by approximately 20% compared to other entry points. - Planned an account-wide wallet P&L feature, providing users with a comprehensive view of their overall performance on BTSE.

Focus: Oversee the Marketplace page in our app, including Lido, NFT marketplace, Crypto Exchange and Purchase, and connection tools. The Crypto Exchange generates approximately $15,000 in monthly revenue. Achievements: - Lido: Planned and integrated Lido into CoolWallet, enabling users to stake ETH with the leading Web3 staking service. This integration attracts approximately 500 weekly users and generates referral fees from each transaction. - NFT Marketplace: Integrated popular NFT marketplaces (OpenSea, Rarible) into CoolWallet, allowing users to buy, bid, and sell NFTs directly within the app. OpenSea functionality alone records 6,500 weekly operations. - 1inch: Integrated 1inch into CoolWallet's Crypto Exchange, offering users access to over 1,000 trading pairs with low slippage. This feature generates referral fees from each transaction. - MetaMask: Developed a QR code-based function to connect MetaMask with CoolWallet, ensuring secure use without exposing seed phrases. This feature is used 1,200 times weekly. - WalletConnect: Planned and implemented WalletConnect to enable seamless connections between users' wallets and Web3 services. - BTC Direct: Designed the integration of cash-out services for BTC and USDT, generating referral fees through transaction processes.

Focus: Spearheaded cross-departmental collaboration, product definition, and process optimization to accelerate product development and enhance organizational efficiency. Achievements: - Stakeholder Alignment: Led business canvas meetings across three departments, persuading stakeholders to approve the development of a new product. Defined the value proposition and presented the business model to the vice president, securing executive buy-in. - Efficient Product Definition: Introduced NPDP (New Product Development Process) standards and utilized Figma to create wireframes, streamlining communication and reducing development time by 70%. Authored detailed PRDs to ensure developers quickly grasped project requirements and executed efficiently. - Engineering Efficiency: Enhanced the engineering process by over 2x, supporting the health business's digital transformation. Planned and implemented cloud tools for network architecture, databases, and data platforms, enabling subsidiaries to monitor corporate customer health metrics and abnormalities in real time. - Team Optimization: Organized engineering teams based on individual skills, personalities, and passions, fostering collaboration and accelerating product development.

Focus: Designed and optimized cloud infrastructure, database management, and ETL pipelines to enhance data processing, analytics, and service performance across the organization. Achievements: - AWS Infrastructure: Designed AWS architecture and implemented a two-node Elasticsearch cluster as a NoSQL database for the social media search bar. Built a Jenkins system on Docker to streamline service management. - Database Management: Established a Normalization Rule to manage 300 Redshift tables, differentiating user privileges by creating Administrator and Read-only roles. - Query Optimization: Enhanced Redshift query performance and authored documentation to guide developers in selecting optimal sort keys and distribution styles based on data types. - ETL Pipeline: Built a daily ETL pipeline from Redshift through S3 to Elasticsearch on EC2, triggered by Lambda. Leveraged CloudWatch to monitor service conditions and ensure reliability. - Analytics Performance: Maintained service performance for QuickSight and ensured stable connectivity with Redshift. Designed and conducted two QuickSight training sessions for subsidiaries to enhance data analytics capabilities.

Focus: Developed advanced data pipelines, analytics models, and recommender systems to support large-scale data processing, customer insights, and strategic decision-making. Achievements: - Data Pipeline Development: Designed and implemented a data pipeline system between an Oracle database and Elasticsearch, processing 30 million transactions annually. - Customer Clustering: Applied the RFM (Recency, Frequency, Monetary) model for customer segmentation, delivering actionable strategies to the marketing department. - Recommender System: Built a recommender system using Spark, leveraging Hive to query Hadoop data and PySpark for matrix factorization. Preprocessed data from 100,000 shopping events to generate tailored recommendations based on implicit feedback. - Evaluation System Design: Researched international journals to develop a dual-part evaluation system for the recommender system. The absolute evaluation method provided precise results, while the relative evaluation method enabled efficient parameter comparisons.

While at Academia Sinica, I focused on the Application of Artificial Intelligence in Computational Material Science. Achievements: - Used artificial neural network model to successfully simulate the characteristics of the solar cell materials, which was 100 times faster than the traditional first principle. - Used algorithms to predict the growth state of two-dimension material and published two publications (ACS/MSE).

While at TXC, I focused on the Products/Projects Management, Process Parameter, and Yield Research. Achievements: - Provided differentiated new IC products within half a year through competitive product analysis. - Enhanced 30% (from 60% to 90%) production yield of advanced oscillator within a year.

While at UMC, I focused on Management Etch and Measurement Instrument, Maintenance SPC chart and Research of Mask Transmittance rate. Achievements: - Used bias & variance concept to reduce 40% (NT$1 million) false alarm of SPC chart within half a year. - Improved 150% abnormal product effectively with microscopes.