Personal Portfolio

Kyle Wu

FinTech Builder / Product Strategy / Market Analysis

I turn market problems, product ideas, and financial workflows into practical fintech systems — combining business thinking, data analysis, and AI-native software execution.

Current Focus

Building & Learning

MSc Financial Technology

Warwick Business School (Incoming)

Career Interests

FinTech Strategy & Product
Trading / Market Operations
Business / Data Analysis
Market & Risk Analysis

Focus Areas

Product StrategyMarket AnalysisBusiness AnalysisExecution QualityAI-Native Workflow

What I Do

I work on the bridge between business strategy, market analysis, and technical execution.

My projects usually start from a real business, market, or workflow question: how users make decisions, how financial workflows break down, how apparent market edge decays, or how data can support better execution.

I then turn those questions into structured systems, research workflows, dashboards, or public-facing products.

Selected Work

Public projects that show how I translate market questions, product problems, and workflow frictions into practical systems, research outputs, and decision-support tools.

Signal Ingress
Telegram Auth
Confirm Execute
YES
NO
Audit State
StatusFilled
Latency42ms
1R Risk CheckEncrypted APIPostgreSQLDockerCI/CD
Trading Infrastructure·2026·Public GitHub project

Kaiyn Trading Bot

Structured trading workflow system for community-based market operations.

A Telegram-based workflow system that turns informal community trading signals into structured signal creation, chart updates, risk checks, and confirmation-first execution flows.

  • Signal-to-execution workflow
  • Risk-aware order validation
  • Audit-ready backend infrastructure
PythonPostgreSQLDockerTelegramExchange API
Python
Telegram
PostgreSQL
SQLAlchemy
Docker
GitHub Actions
Execution Lab
Active Analysis
Theoretical Edge
100%
Frictions
65%
Executable
42%
Market Microstructure Research·2026·Public research lab

Prediction Market Execution Lab

Testing whether apparent pricing edge survives real execution frictions.

A public research lab testing whether apparent short-horizon prediction-market pricing edge survives spread, failed fills, latency, risk limits, and settlement frictions.

  • Execution-quality analysis
  • Probability calibration
  • Public-safe research dashboard
PythonStreamlitPolymarketResearchData Analysis

Capabilities

The strategy, analysis, and technical capabilities I use to turn market problems into practical fintech systems.

Strategy-to-System Thinking

Turning business strategy, user pain points, and financial workflow problems into structured products, tools, and execution-aware systems.

Data & Market Analysis

Using data analysis, market reasoning, and research workflows to evaluate behavior, risk, and execution quality.

FinTech Systems & Market Infrastructure

Building practical systems around financial workflows, exchange APIs, confirmation flows, audit trails, and operational risk controls.

Product, Community & User Insight

Understanding user behavior from operating crypto communities, education workflows, and product-facing trading operations.

Background

I am an incoming MSc Financial Technology student at Warwick Business School and a fintech builder with experience across digital asset market operations, product strategy, and applied market research.

My current public projects focus on trading workflow automation and prediction-market execution research, with an emphasis on risk controls, public-safe analysis, decision quality, and practical market infrastructure.

Let's Talk

Open to conversations around fintech strategy, product and business analysis, digital finance, trading workflow automation, market-structure research, and AI-native product-building workflows.

LinkedIn