Nils — GenAI Solution Architect

劉岦崱 · Nils — GenAI Solution Architect

Technical notes from the architect of EnterpriseGPT and Vietnam's first financial AI Agent platform.

Bringing AI Agent Platforms
to Financial Institutions
That Actually Work.

Making AI Agents genuinely usable inside regulated financial environments — compliant, auditable, and production-ready.

I'm Nils (劉岦崱) — the person who builds AI Agent platforms that actually work inside financial institutions. Currently leading an overseas AI team at a major Taiwanese financial holding, building AI products from 0 to 1 with a cross-functional team. I built EnterpriseGPT (the bank's first production GenAI platform), AI Coach (96% satisfaction across 100+ financial advisors), and the Overseas AI Agent Platform (3-layer Agent architecture, deployed in Vietnam). I hold 6 utility patents, all in LLM application system architecture. My focus is production, not demo: regulated environments, compliance constraints, and real users in real financial institutions.

AI Agent Architecture (Financial Institutions)·Multi-Agent System Design·Financial Compliance AI (GRC)·RAG / GraphRAG·LLM Product & Platform Design·GenAI Platform Architecture·Enterprise Knowledge Management·Cross-border Fintech Deployment·Evaluation-Driven AI Development·Patent Holder (6 Granted, LLM Systems)·Conference Speaker (7 Talks)·GCP Serverless / Cloud-native

Impact in Numbers

Not a feature list. Real outcomes shipped in production.

#1
First Production GenAI at a Leading Bank
Launched August 2024, serving thousands of bank staff.
96%
AI Coach Satisfaction
3-layer Agent architecture with GraphRAG and Rubrics-based evaluation.
6
AI Patents Granted
Sole inventor on all 6. 2 additional invention patents under review.
7
Conference Talks
iThome Hello World 2024+2025, DevFest Taipei 2025.
Weeks
PoC to Production
Zero to live in a regulated financial environment.

Global Trajectory

2006–2010

NTU — B.Sc. Chemistry

Graduated from National Taiwan University, building a rigorous scientific foundation.

2012–2015

TU Chemnitz — M.Sc. Chemistry

Pursued a Master's degree in Germany, gaining international academic and cross-cultural experience.

2016–2017

Groningen Univ. Visiting Researcher / Fraunhofer Intern

Conducted advanced materials and nano-synthesis research at a Nobel Laureate lab (Holland) and Fraunhofer (Germany).

2017–2019

Avancis GmbH — Int'l Project Specialist / PM (Germany)

Managed tech-transfer projects and pilot-line implementations, coordinating cross-border teams for automation acceptance.

2019–2022

DBS Bank — MA → DevOps Sr. Associate

Joined via Management Associate program. Led Python automation and ML enablement for 200+ staff.

2023–2024

Synpulse — Banking Tech Consultant

Consulted at a Swiss financial advisory firm; built the GenAI risk analytics module 'Narrator'.

2024–Now

Leading Financial Holding — Overseas AI Team Lead

Leading overseas AI team building from 0→1. Architect of EnterpriseGPT (the bank's first production GenAI), AI Coach (96% satisfaction), and the Overseas AI Agent Platform (Vietnam). 6 patents granted.

Featured Prototypes

See how I build production-grade AI Agents — from concept to working demo.

AI KYC Agent — Autonomous Browser Automation

AI KYC Agent — Autonomous Browser Automation

An AI Agent that controls the browser like a human to perform KYC verification — fully autonomous, fully audited.

Autonomous Agent

AI controls the browser like a human operator — zero manual intervention required.

Full Audit Trail

Every action is recorded with screenshots and structured audit logs for compliance.

Auto-Generated Report

A structured KYC report is automatically produced upon task completion.

Compliance-Ready

Built for regulated environments — governance and observability from day one.

News Sentiment Agent Team — Multi-Agent Research

News Sentiment Agent Team — Multi-Agent Research

An AI Agent Team that breaks language and time barriers — users discuss news with AI, which automatically collects, summarizes, cites sources, and exports or emails reports.

Multi-Agent Collaboration

Agent team members work together and can be infinitely expanded for new capabilities.

Cross-Language Research

Break language and timezone barriers — discover and analyze global news in any language.

Interactive Q&A

Chat with AI to drill down into stories, uncover related news, and ask follow-up questions.

Auto Summary & Export

AI collects info, summarizes with sources attached, and exports or emails the final report.

Insurance Life — Into the Mist (Lead Dev: Yen-Min Chiu)

Insurance Life — Into the Mist (Lead Dev: Yen-Min Chiu)

A life simulation system that visualizes risk management and financial planning, mapping life's unexpected events to actual insurance claim logic.

Risk Visualization

Pre-warns of life events (like accidents or illness) so players can plan their safety nets in advance.

Actuarial Mapping

Dynamically maps unexpected events to real-world healthcare and insurance payout results.

Dynamic Age Engine

Accurately simulates changing income, family responsibilities, and risk probabilities over time.

Interactive Financial Education

Breaks down jargon barriers to provide an interactive experience with real-world claim logic.

AI Interview Assistant — Live Google Meet Participant (Lead Developer: Sunny Sun)

AI Interview Assistant — Live Google Meet Participant (Lead Developer: Sunny Sun)

An AI Agent that joins Google Meet as a named participant, providing real-time interview support and automated meeting documentation.

Live Meeting Participation

AI joins Google Meet directly as a named participant — no plugins or screen capture needed.

Interview Workflow Support

Assists interviewers in real-time with structured scoring and summary feedback on candidates.

Auto Meeting Minutes

Automatically records the full conversation and generates exportable structured meeting summaries.

Multi-Interviewer Integration

Supports multiple interviewers simultaneously, synthesizing different perspectives and evaluations.

Services

Focused engagements designed to move fast and deliver measurable outcomes.

Consulting

1–3 weeks

I help leadership teams cut through AI hype and make confident, informed decisions. Expect a clear roadmap, not a slide deck.

Best for: strategy clarity, architecture review, build-or-buy decisions

AI strategy assessment, architecture blueprint, vendor evaluation, risk & governance framework, executive readout.

Rapid Prototyping

2–6 weeks

I build production-grade prototypes that prove what's possible — and what isn't. Your team inherits clean code and clear documentation.

Best for: proving value fast, de-risking before committing headcount

Working prototype, evaluation suite, cost model, handoff documentation, demo recording.

Enablement & Training

0.5–2 days

I run intensive, hands-on workshops tailored to your team's stack and skill level. No generic content — everything is built around your real problems.

Best for: upskilling engineering teams, internal AI champions

Custom workshop, hands-on labs, reference materials, follow-up Q&A session.

6 AI Patents — The Stories Behind Them

Sole inventor on all six. Each patent originated from a real enterprise problem, not an academic exercise.

Sole Inventor
M670472

Financial Investment Advice Generation System

LLMs produced unstructured, unauditable investment recommendations. This patent enforces structured output that meets financial compliance requirements.

M671161

Intelligent Optimization System

Enterprise prompts were managed ad-hoc with no versioning. This patent establishes a version-controlled prompt optimization mechanism.

M671223

Information Query System

Traditional keyword search fails on unstructured enterprise documents. This patent introduces a semantic retrieval architecture for accurate information access.

M671449Invention Patent Pending

Customizable Generative AI System

Different bank departments needed custom AI behaviors on the same underlying model. This patent solves the multi-scenario deployment scaling problem.

M674713

Data Query System

Cross-system data queries were fragmented and costly to integrate. This patent provides a unified query interface to reduce engineering overhead.

M676680Invention Patent Pending

Knowledge Graph Construction System

Unstructured enterprise knowledge was inaccessible to AI systems. This patent builds a reasoning-capable knowledge structure so AI genuinely understands business context.

About

I'm Nils (劉岦崱) — the person who builds AI Agent platforms that actually work inside financial institutions. Currently leading an overseas AI team at a major Taiwanese financial holding, building AI products from 0 to 1 with a cross-functional team. I built EnterpriseGPT (the bank's first production GenAI platform), AI Coach (96% satisfaction across 100+ financial advisors), and the Overseas AI Agent Platform (3-layer Agent architecture, deployed in Vietnam). I hold 6 utility patents, all in LLM application system architecture. My focus is production, not demo: regulated environments, compliance constraints, and real users in real financial institutions.

Principles

The Bitter Lesson

Scale and compute win. I build systems that leverage foundation models rather than fight them.

Platform-First

One-off solutions don't survive. I design for reuse, governance, and team autonomy from day one.

Evaluation-Driven

If you can't measure it, you can't ship it. Rigorous evaluation is the foundation of every project I touch.

Stack & Skills

PythonSQLGCP (Cloud Run / Vertex AI)Serverless ArchitectureAgentic Workflows / MCPRAG / GraphRAG / Agents / EvalsReact / Next.js / TypeScriptLangChain / LlamaIndexPostgreSQL / Vector DBs

Credentials

Patents

6 granted (GenAI / Knowledge Graph / Data Query systems)

Award

1st Place — 2024 Enterprise Innovation Competition

Talks

iThome Hello World 2024 & 2025 (7 sessions), DevFest Taipei 2025

Certifications

PMP (Project Management Professional)

Education

NTU CS (MSc) · Quantic MBA · TU Chemnitz MSc · NTU BSc

Languages

Chinese (native), English, German, Japanese (basic)

If you're thinking about how to genuinely deploy AI Agents in a regulated financial environment — or you're building a team that needs this kind of experience — I'm open to a conversation. Whether that's advisory work, a speaking invitation, or a longer-term opportunity.

Start a Conversation

Get in Touch

Whether you need a strategy session, a prototype, or a workshop — I'd love to hear about your challenge.

Based in Taipei, Taiwan (GMT+8)