GenAI / AI Application Engineer with 3+ years of hands-on Python and AI development, including delivery in regulated banking and financial infrastructure environments. Focused on enterprise AI agents, retrieval-augmented generation (RAG), MCP/tool integration and FastAPI services. Skilled at turning ambiguous business or operations needs into scoped use cases, prototypes and engineering workflows; comfortable collaborating across product, operations and infrastructure teams.
Zhengbo(Ethan) Zhengbo(Ethan)
Al Application Developer / GenAI Engineer | Hang Seng Bank, HSBC Group (via Infosys)
China
Summary
Education
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Gan Nan University of Science and Technology Bachelor's Degree, Mechatronics Jan 2016 - Jan 2020
Experience
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Al Application Developer / GenAI Engineer Hang Seng Bank, HSBC Group (via Infosys) May 2026 - Present • 6 mos
Translate requirements from MDC operations stakeholders into Al-assisted incident investigation use cases, covering alert triage, production logs, legacy code and cross-environment (cloud/on-premises) workflows. Designed and implemented the Main Agent and Investigate Subagent for MDC Assistant (UAT), orchestrating knowledge retrieval, field lookup, impact analysis and delegated incident investigation. Integrated existing Logdream and Portal MCP services into the Investigate Subagent, implementing agent-side MCP connectivity and incorporating teammate-authored Agent Skills.
- GenAI Engineer Standard Chartered Bank (via Wipro) Jul 2025 - Apr 2026 • 10 mos
Partnered with bank product and engineering stakeholders to translate business requirements into GenAI proof-of-concepts and reusable Python-based components. Built the agent retrieval backend for KMS, a RAG knowledge-management system for financial-promotion data in internal testing; implemented structured retrieval, metadata filtering (product, language, validity) and ranking. Contributed structured-data query and embedding-based deduplication prototypes, along with reusable ChatKB and PayTech agent components.
Skills
- LLM tool calling, LangGraph, LangChain, MCP, Agent Skills, agent/subagent orchestration, structured outputs, prompt engineeringNovice
- Hybrid search, vector/full-text retrieval, RRF, reranking, source grounding, RAGAS, Golden Sets, response quality checksNovice
Languages
- MandarinWorking knowledge
- EnglishWorking knowledge