Owen Wu

Software Engineer Intern (Backend)

• Simplified the company's internal Datafeed query API by introducing RSQL as the query language, replacing verbose hand-built JSON query objects used by data scientists and AI agent products
• Maintained Datafeed pipelines and parsers to support the Professional Service team's client-specific requirements, and fixed a production bug in the internal Weather API fallback service used by advertising and agent products
• Built automated smoke tests for the internal LiteLLM-based LLM gateway to catch breaking changes from frequent model and dependency upgrades
• Led migration of the ML training pipeline's storage backend from S3 to GCS to cut cross-region data transfer costs (~US$20/day)
• Built core components and a domain-knowledge bundle for "RecBot," the team's AI agent prototype, at an internal Innovation Day hackathon

Full-Stack Engineer

• Delivered a complete subscription and billing system for the "Marketing Monster" SaaS product using Paddle, including checkout flows, subscription lifecycle management, and proration support

Blockchain R&D Intern (Promoted to Blockchain R&D Engineer in Mar 2024)

• Extended the company's ETL-based blockchain parser to support the OMNI chain, integrating Neo4j and Node-RPCs to enable high-frequency on-chain data ingestion
• Designed and prototyped a cross-chain transaction tracking module within the ETL framework to infer token flows directly from on-chain data, reducing dependency on third-party bridge APIs
• Rapidly onboarded to the CIB's cryptocurrency tracing system under resource constraints, delivering frontend and backend features to improve data visualization and user interaction
• Represented the company in the ScanCTF competition, using internal tools and graph-based methods to trace multi-chain transactions
• Implemented an on-chain certificate issuance feature for the government blockchain education platform B-Jade

Technical Department Lead

• Co-organized a large joint workshop with NTUST Cybersecurity Research Club on AI-driven automated penetration testing, attracting 50+ participants across two universities
• Led a research group focusing on Explainable AI and LLM deception benchmark, conducting weekly literature reviews and reproducibility experiments

Vice President / Public Relations

• Redesigned club activities and public relations strategies, growing membership to over 100 students
• Developed and delivered introductory web penetration courses to make the club more accessible to beginners
• Strengthened connections with the broader security community through participation in AIS3 activities and representing the club with a booth at HITCON 2024
• Co-founded and organized the first TSCCTF, a collaborative CTF event with 13 university security clubs, attracting over 100 participants. Also served as a problem-setter

Academic Director

Technical Consultant

3rd Place

• Built "DuoDuo", a matchmaking platform connecting youth entrepreneurs with employment and startup opportunities

2nd Place

3rd Place

• Built "Juka", an AI-powered app that helps users instantly find companions to redeem group-based deals like buy-one-get-one-free offers and ride-sharing
• Designed a real-time matching mechanism using GPS and user preferences, enabling spontaneous and contextual group formation
• Placed 3rd out of 107 teams in Taiwan's largest AI fintech hackathon

4th Place

4th Place

Teaching Assistant

Lecturer