AI-Native Product  ·  Agents  ·  FinTech  ·  Hong Kong

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AI-Native Product Manager | FinTech & Agent Products

Victor WU
Profile

Open to AI Product Manager opportunities

Yutu (Victor) WU

Financial Technology undergraduate at The Chinese University of Hong Kong pursuing AI-native product management. I turn user problems into product definitions, PRDs, interactive prototypes, agent and RAG workflows, acceptance tests, and shipped AI products.

AI Product Management

Architecting LLM agents from PRD to deployment across full product lifecycle

FinTech & Financial Markets

Bloomberg Terminal, portfolio analysis, ESG, venture capital & trading comps

LLM & RAG Engineering

RAG pipelines, vector search, MCP servers, prompt engineering & tool-calling

Cross-functional Execution

Bridging engineering, data, and business teams to ship production AI systems

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Experience

Internship
Micro Connect International Finance Company Limited
AI Product Manager, Product & R&D Department·May 2026 - Aug 2026·Shenzhen, China

Micro Connect International Finance Company Limited

▸ Personalized Agent Training and Operations Platform

  • •Led 0-to-1 product definition and the operating model across agent creation, training, evaluation, publishing, rollback, and ongoing operations.
  • •Designed a closed loop from baseline evaluation and failure clustering to optimization proposals, human review, quality gates, and version control.
  • •Coordinated engineering delivery and business acceptance; launched 63 agents across finance, risk, and core financial services, each completing at least one training cycle.
AI AgentsInteractive PrototypeEvaluationProduct Operations

▸ Cross-Session Memory and Skill System

  • •Researched and implemented cross-session memory and skill lifecycles covering recall, cross-account isolation, authoring, refinement, and execution.
  • •Completed 222 automated tests and dual-account end-to-end validation; drove fixes for 3 workflow defects and 5 UX issues through regression acceptance.
Episodic MemoryProcedural MemoryAI-Assisted CodingAutomated Testing
#AI Agents#Product Strategy#PRD#Evaluation#Memory#Acceptance Testing
Investoday Financial Information Ltd.
AI Product Manager, AI Innovation Department·Feb 2026 - Mar 2026·Shenzhen, China

Investoday Financial Information Ltd.

▸ A-Share Industry Rotation Advisory Agent

  • •Built a six-dimension industry rotation workflow covering macro, valuation, sentiment, technicals, capital flow, and crowding.
  • •Defined and integrated requirements for 20+ financial indicators, including data type, history depth, refresh frequency, and granularity.
  • •Restructured outputs into a conclusion-first format and converted unstructured sell-side reports into actionable investment signals.
DifyLLM WorkflowPrompt EngineeringFinancial Data APIs
#Dify#LLM Workflow#Prompt Engineering#Financial APIs#PRD
Deloitte Innovation Investment (Hong Kong) Limited
AI Engineer, Deloitte AI Institute·Jun 2025 - Aug 2025·Hong Kong SAR

Deloitte Innovation Investment (Hong Kong) Limited

▸ AI Intelligent Customer Service Chatbot

  • •Built document-processing, vector-retrieval, knowledge-graph, and reranking components for a financial-services RAG chatbot.
  • •Integrated ms-marco-TinyBERT-L-2-v2 reranking, improving response accuracy by 20%, and participated in API testing and deployment.
MongoDBAzure Cognitive SearchAzure Cosmos DBTinyBERT

▸ AI Investment Portfolio Management Assistant

  • •Developed a tool-calling financial agent with MCP access to real-time data.
  • •Trained an LSTM on minute-level data that achieved 67.0% 15-minute directional accuracy on 21,663 independent validation samples.
LSTMNVIDIA L20SMCP ServerTool Calling

▸ AI Intelligent Invoice Recognition System

  • •Built a handwritten and printed invoice-recognition prototype covering data collection, labeling, model tuning, and OCR routing.
YOLOv12mOCRComputer VisionRoboflow
#RAG#Azure#TinyBERT#MCP#LSTM#YOLOv12m

Projects & Competitions

Finance
CodeMonkey / ConceptTree
AI Product·Apr 2026

CodeMonkey / ConceptTree

Live Product

  • •Designed and launched an AI learning-path planner that transforms natural-language goals into dependency-aware interactive knowledge graphs.
  • •Supports personalized paths, node mastery status, learning notes, resource search, and next-step recommendations.
#Knowledge Graph#Personalization#AI Product#AI Coding
HKSI Case Competition 2025
Competition·Jan 2025 - Apr 2025

HKSI Case Competition 2025

Semi-Finalist (Top 10%)

  • •Developed a predictive regression model to assess how ESG factors affect corporate financial performance.
  • •Proposed an AI- and blockchain-enabled roadmap for mandatory carbon pricing and centralized ESG data.
#ESG#Regression#AI#Blockchain
VCOC Investment Challenge 2025
Competition·Feb 2025 - Mar 2025

VCOC Investment Challenge 2025

Top 15% Team

  • •Used trading comparables and IRR scenarios to evaluate a US$5 million Series A investment.
  • •Analyzed GenAI positioning and identified potential operational-efficiency gains from NLP-driven pricing intelligence.
#Venture Capital#Trading Comps#IRR#GenAI
Bloomberg Global Trading Challenge 2024
Competition·Oct 2024 - Nov 2024

Bloomberg Global Trading Challenge 2024

Global Top 10% · Highest Rank 53 / 2,000+

  • •Analyzed AI-focused technology equities and managed a portfolio that achieved a 15% monthly return.
#Bloomberg Terminal#Portfolio Management#Technology Equities

GitHub Pinned

Tech
1Max1mus1
CodeFlow

AI-powered Python call-graph editor built end-to-end with Claude Code.

Python
Decentralized-Sports-Prediction-Platform

Blockchain-based decentralized sports prediction platform built as a blockchain course final project.

Solidity
CodeMonkey / ConceptTree

AI learning-path planner that turns goals into dependency-aware knowledge graphs and personalized learning paths.

Python
3
Cantonese-Voice-Chatbox-Agent

Mobile-first Cantonese voice chat app — Azure Speech ASR + DeepSeek AI dialogue + Cantonese TTS with PWA support.

TypeScript
Day-Day-Up-Demo

Multi-agent personalized learning assistant. Breaks down complex concepts, generates custom learning paths, and creates adaptive tests.

TypeScript