Breaking

Terrence Leung

AI Engineer and FinTech · Hong Kong

Pipelines, agents, and the numbers they move.

Computer Science graduate from HKUST and incoming MSc Financial Technology student at CUHK. Recent internships at AIA Group, Chiyu Banking Corporation, and the Hospital Authority — building LLM agents, RAG systems, and data pipelines for finance and operations.

1. Experience 01

   

   Fullgoal Asset Management (HK) Limited

   Fintech Intern

   Middle Office Department

   Aug 2026 – Present

   • ¶Enhancing an n8n-based AI agent workflow to ingest and classify financial news on A-share and Hong Kong-listed stocks, identifying positive and negative market signals and automatically surfacing relevant stocks for analyst review.
   • ¶Building a LangGraph market-analysis agent integrating market-data retrieval, news scraping and web search, for deployment on Render as a shared API to provide a reusable reasoning service for existing n8n workflows.

   • N8N
   • LangGraph

2. Experience 02

   

   AIA Group

   AI Engineer Intern

   IT Finance and Planning, Group Technology

   Jun 2026 – Aug 2026

   • ¶Built an end-to-end Python data pipeline that extracts, validates and consolidates IT financial data across 18 markets, powering an HTML dashboard used by the Group CTO and senior IT leadership for strategic spend reviews.
   • ¶Integrated an LLM-powered analysis agent that automatically generates financial commentary, flags spending anomalies and produces governance-ready summaries across six key dashboard tabs, reducing manual review effort.
   • ¶Partnered with the Malaysia IT Finance Team to identify workflow bottlenecks and deliver automation solutions, including Excel template generation, and iterative dashboard enhancements based on evolving business requirements.

   • Python
   • Github Copilot
   • HTML dashboard
   • Excel

3. Experience 03

   

   Chiyu Banking Corporation Limited集友銀行

   Fintech Intern

   IT Development Team

   Jun 2025 – Nov 2025

   • ¶Developed a multi-agent chatbot that leveraged RAG to answer queries from internal documents, retrieve real-time financial news from trusted sources, and continuously update its knowledge base with a data ingestion pipeline.
   • ¶Implemented an automated web data pipeline to collect financial product information from competing institutions, ingesting the data into the chatbot's knowledge base to support up-to-date market intelligence and product comparison.
   • ¶Collaborated with cross-functional stakeholders and external vendors to evaluate enterprise AI, KYC and stablecoin solutions, supporting technology adoption and strategic decision-making.

   • LangChain
   • LangGraph
   • RAG
   • Multi-agent

4. Experience 04

   

   Hospital Authority

   Data Engineering Intern

   Private Cloud Team

   Jun 2024 – Aug 2024

   • ¶Implemented a Kibana monitoring watcher and dashboards to analyze log entries, enhancing system resilience with automated alerts for CPU usage exceeding 70% on remote servers.
   • ¶Extracted useful data from a large volume of unstructured log for integration into the dashboard system using Grok Pattern in Logstash.
   • ¶Automated backups of remote device configuration logs and developed a command-line tool for secure file transfers from remote devices to local systems using Shell scripting, protecting data security and reducing manual workload.

   • Kibana
   • Logstash
   • Shell

The full index