About me
I am a final year Finance and Computer Science student who builds at the intersection of software engineering, applied machine learning, and financial analysis. My goal is to create tools that help people make clearer decisions about money, careers, and risk.
Long term, I want to grow into a builder and leader who uses AI and data to solve real problems that reduce inequality and improve access to basic needs.
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How I learn and work
University gives me the foundation, I learn the rest by building and stress testing my thinking against real problems.
Stack
Python, React, Next.js, Django, SQL, AWS, GCP
Practice
End to end projects, case competitions, workshops, and shipping real tools for clubs and teams.
Mindset
Start simple, get something working, measure, then iterate with users and data.
A short timeline
2022–2023
Foundations in finance and CS
Core courses in algorithms, software engineering, markets, corporate finance, and investments.
2023–2024
Projects and leadership
Tech lead for the AUCC website, Finance and Governance Executive at AIESEC, and early trading and ML experiments.
2024–2025
AI, trading, and career tools
Mean reversion models, valuation platforms, and Worklaunch, with a focus on shipping tools that feel useful, not just impressive.
What I want to build next
I am interested in AI and ML Engineer roles, full stack product engineering, and quantitative or FinTech analyst roles. I want to work on systems that are technically robust, commercially grounded, and make it easier for people to make good decisions.
I am committed to building a long term career in New Zealand in organisations that invest in innovation and people, and that see AI as a tool to extend human judgment, not replace it.
For roles in AI, software, or trading, reach me at pboomhtsaengs1@gmail.com.