#1
Americas Wild ladder
Hearthstone, 2019 and 2025
Engineer · New York
AVAILABLE
Six years of engineering. Pure math, three years at Goldman, #1 on a competitive ladder, and I teach at an AI university.
I work with companies that need a technical lead — data, automation, agents — not a ticket queue.
Mathematics · Java · Python · Kafka · PyTorch · MLX
#1
Americas Wild ladder
Hearthstone, 2019 and 2025
10,000+
client accounts
Goldman beneficiary system
100%
scholarship, full ride
1823 Scholar, Trinity
80%
faster processing
data pipeline rewrite
Five pieces
drag to turn
Stealth fintech · founding
0 → 1
Goldman Sachs · 2022–2025
80%
Apache-2.0 · PyPI
role:*
haitedu.com
the public site
d22soso.com
Record + playable table
System · 2025–26
Agentic trading engine
Python and Kafka across multiple exchanges. Agents that audit portfolios against legacy SQL. PyTorch time-series, backtests, and a daily pre-market brief.
OpenMath, systems, and a competitive streak. Deep in each.
The degree, the ladder, Goldman, and the classroom look unrelated until you watch how I work.
Formal mathematics
I prove it before I write it.
Enterprise and AI engineering
Infrastructure on a deadline, with the pager on.
Competitive meta and pedagogy
A clock, a hidden hand, then getting a room to move.
Ladder play is risk on a clock. I read a system the same way: what I cannot see, what being wrong costs, what I do first.
I find the constraint before I write the change, not after it pages someone at 3am.
Something that changed six months ago becomes a class, and a budget, and a site that runs.
The maps. Flip a tab.
Six years in. Banking infrastructure, a founding year on an agent stack, and a classroom.
2025 — present
Chiang Rai, remote
HAIT
AI university
Sep 2025 — Aug 2026
New York
Stealth fintech
Agentic stock trading engine, zero to one
May 2022 — Jul 2025
New York
Goldman Sachs
Forward deployment and automation
Oct 2020 — May 2022
One Dave Software
Graduated May 2026
M.S. Information Studies
Trine University
May 2020
B.S. Computer Science and Mathematics
Trinity College, Hartford
1823 Scholar — full-ride scholarship
Local Lattice on PyPI. Then the sites I can put a URL on.
Open source · 2026
pypi.org/project/local-lattice
Local-first OpenAI-compatible gateway. Plug MLX, LM Studio, or cloud into Lattice, then assign the role switch. Agents ask for a capability and get a model back.
pip install local-lattice
University · 2025
haitedu.com
The public site for HAIT, an AI university in Chiang Rai still recruiting before there is a campus. I teach there, and I built the site and the systems behind it.
Archive · 2025
d22soso.com
A site for Wayne “D22-soso” Chiang — 1999 Brood War World Champion, WSOP talent manager, and inventor of 2 Hand Hold’em.
Technical lead work for funded teams with a stuck system — data, automation, or agents.
Most engagements start with a diagnostic. You get everything in writing before I start.
start here
90 minutes
$1,000
We look at what is stuck and I tell you what to do first. You leave with that in writing.
Scoped project
From $20,000
An internal tool, an agent, or the pipeline under them. A public site alone is not the job.
per month
$12,000
I stay on it. Priorities, reviews, and shipping every month.
$3,000 / day — A workshop, a review, or a day in the room to ship something.
Chris Su-Young Lee.
Chris Swim Lee is 수영 — swim — said in English.
I studied mathematics and computer science at Trinity on a full-ride scholarship. Six years of engineering since — three of them on Goldman Sachs infrastructure, then a founding seat on an agentic trading stack. In between I played Hearthstone to #1 in the Americas.
Math taught me to find the constraint. The ladder taught me to bet when the information is incomplete. Goldman taught me what happens when either one is wrong at scale.
Now I consult in New York and teach at an AI university. Same job in both rooms: look at the stuck system, decide the direction, and ship.
Tell me what’s stuck. Data, automation, agents — I’ll tell you what to do first.