ralphyang

Quantitative Research / Ai/Llm Engineering / Web3 Infrastructure

AI & Quant Strategies: Engineered news-driven quantitative trading frameworks using LLMs and RAG to transform unstructured data into executable signals. High-Concurrency Systems: Developed a real-time Ethereum monitoring bot using Python (Asyncio) that processed 80,000+ alerts for over 270 active users. Computer Vision Precision: Optimized YOLO algorithms for industrial research, achieving 0.95 precision and 0.9 recall in identifying over 200 challenging objects. Web3 Evangelism: Facilitated the adoption of decentralized identity (World ID) and cross-chain protocols (CCIP) through technical workshops and developer relations. Multidisciplinary Expertise: Pursuing a Ph.D. in Finance with a Master’s in Electrical Engineering, bridging the gap between advanced technical engineering and financial market reasoning.              


Experience: 1 year

Yearly salary: $30,000

Hourly rate: $25

Nationality: 🇹🇼 Taiwan

Residency: 🇹🇼 Taiwan


Experience

Quantitative Trading Strategy Researcher
Damon Tech Consulting
2025 - 2025
Developed and backtested event-driven trading strategies based on real-time news, capturing market volatility alpha through automated workflows. Engineered autonomous AI agents using LLMs and RAG to process complex news data, increasing the speed of qualitative-to-quantitative signal transformation. Designed robust risk management frameworks and automated performance reporting using Python, ensuring strategy drawdowns remained within defined parameters.
Orb Operator
World (Worldcoin)
2025 - 2025
Facilitated user onboarding for the World ID protocol, driving the regional adoption of decentralized digital identity (DID) solutions. Managed the technical deployment and calibration of biometric imaging hardware, ensuring high data integrity and field operational efficiency.
Research Engineer
Industrial Technology Research Institute (ITRI)
2023 - 2024
Optimized image processing efficiency by integrating YOLO, GrabCut, and Convex techniques, addressing real-world object identification challenges. Achieved a system efficiency breakthrough with 0.95 precision and 0.9 recall across a dataset of 200+ complex objects.

Skills

engineer
quantitative-analyst
ai
english