dull-bird
"dull-bird" is a nickname of mine. The slow bird starts early — so I share my thinking about new technology, especially AI, out in the open. My belief is simple: help more people enjoy technology, more equally.
Research papers
All papers →Deep learning for enhanced index tracking
This paper formulates enhanced index tracking as a dynamic rebalancing problem: select large index constituents, then let a structured neural network allocate weights under tracking-error, excess-return, CVaR, and transaction-cost considerations.
Which neural network works best for quadratic hedging?
This is a benchmark paper rather than a new hedging trick: it compares Multi-net, Single-net, and RNN architectures for dynamic hedging across high-dimensional and long-horizon settings.
Latest writing
All writing →Becoming the First External Contributor to an "OpenAPI for CLIs": An AI-Assisted Open Source Practice
I stumbled onto CLI Schema, an open spec almost nobody has heard of — an 'OpenAPI for command-line programs.' Three things here: what it is, how I used AI to contribute, and what I learned about working with a maintainer who is rarely online.
The future is here, unevenly
Gibson's line is over-quoted. But every time I actually pick up a new tool, I believe it more — the gap isn't time, it's who reaches first.
Slow bird: learning in public
I'm not the fastest bird, but I can be the one that starts early. Publicly clumsy beats privately perfect.
The future is already here — it's just not evenly distributed.