Kawelo
Wong

Columbia

University

Econ-Phil

Degree

2026

Graduation

GitHub Activity

@kawelo-wong
Kawelo Wong

01 / About

A background in economics, philosophy, and code.

I studied Economics-Philosophy at Columbia University, with additional coursework in computer science, econometrics, behavioral economics, financial economics, probability, and decision theory. The combination shaped how I think about markets — as systems where information, incentives, and human judgment continually interact.

My interests sit at the intersection of valuation, trading systems, behavioral economics, and applied technology. I'm drawn to questions about how investors actually decide, how prices come to reflect (or fail to reflect) what's knowable, and how software can sharpen the work of analysts and traders.

I build small tools, write research notes, and study real positions to understand the mechanics behind the headline numbers. The goal is the same in each case: better reasoning under uncertainty.

Coursework

  • Computer Science Theory
  • Data Structures
  • Discrete Mathematics
  • Econometrics
  • Money & Banking
  • Behavioral Economics
  • Economics of NYC
  • Financial Economics
  • Probability & Decision Theory
  • Introduction to Quantum Computing
  • Symbolic Logic
  • Philosophy of Science

Focus Areas

  • Logic
  • Economic Methodology
  • Markets & Valuation
  • Trading Systems
  • Applied Technology

02 / PROJECTS

Passion Projects

Things I build because I want them to exist

01Featured

MindNoodle

An AI study-planning app that turns syllabus PDFs into structured weekly plans. Students upload a course syllabus, extract key deadlines, topics, readings, and exam dates, then generate a week-by-week academic roadmap.

RoleFounder · Full-stack Developer · Product Designer
StackPython · TypeScript · Tailwind · CSS · PLpgSQL · Supabase · OpenAI API · Anthropic API · Railway
BuiltPDF upload flow · LLM extraction pipeline · deadline parsing · weekly planning logic · responsive UI
  • FULL-STACK
  • AI
  • EDTECH
  • PDF PARSING
  • RAG
  • PROMPT ENGINEERING
  • CI/CD

03 / SKILLS

Tools & Capabilities.

The stack I reach for — across code, data, and markets.

Computer Science

Languages

  • Python
  • Java
  • JavaScript
  • SQL

Backend & Data

  • PostgreSQL
  • Git

Frontend

  • CSS

AI & Automation

  • OpenAI Python SDK
  • LLM Pipelines
  • Prompt Engineering
  • Workflow Automation

Finance

Markets

  • Equities
  • Fixed Income

Analysis

  • DCF Modeling
  • Comps

Tools

  • Excel
  • Bloomberg

04 / Notes & Research

Research coming soon...

Short essays — research in public, written to clarify my own thinking.

05 / Resume

A condensed view of background and capabilities.

Full résumé available as a PDF download.

  • Education

    Columbia University — B.A. Economics-Philosophy

    Minor: Computer Science

  • Focus

    Markets, Valuation, and Applied Technology

    Independent research and tooling across execution, options, and fundamental valuation.

  • Toolkit

    Python · SQL · Excel · Financial Modeling

    Data analysis, market microstructure modeling, options analytics, DCF / 3-statement / LBO models.

kawelo_wong.pdf

PDF · One page

Download the full résumé.

Detailed experience, projects, and references on request.

06 / Contact

Open to conversations about markets, research, and roles.

I'm open to roles in finance, investment research, trading support, fintech, data analysis, and strategy-oriented analyst positions.