Engineer · New York

Chris Swim Lee

AVAILABLE

Chris Swim Lee
New York, NY

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

Range

Math, systems, and a competitive streak. Deep in each.

The degree, the ladder, Goldman, and the classroom look unrelated until you watch how I work.

Pure theory Implementation Strategic execution depth breadth
Three peaks. The useful part is the overlap.

Formal mathematics

Pure theory

I prove it before I write it.

  • B.S. in Computer Science and Mathematics, Trinity College.
  • 1823 Scholar — full-ride scholarship.
  • M.S. Information Studies, 2026.

Enterprise and AI engineering

Implementation

Infrastructure on a deadline, with the pager on.

  • Three years at Goldman Sachs — 10,000+ accounts, 50+ internal teams on the APIs.
  • Founding engineer on an agentic trading engine, zero to one.
  • Local Lattice — an OpenAI-compatible gateway, published on PyPI.

Competitive meta and pedagogy

Strategic execution

A clock, a hidden hand, then getting a room to move.

  • #1 on the Hearthstone Americas Wild ladder — January 2019, again November 2025.
  • #1 seed for the 2019 Wild Open. HCT Tavern Champion, 2017.
  • Professor at an AI university.

Where they meet

01

Reading a hidden hand

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.

02

Proof, then the migration

I find the constraint before I write the change, not after it pages someone at 3am.

03

A school can teach it

Something that changed six months ago becomes a class, and a budget, and a site that runs.

Systems

The maps. Flip a tab.

sys / trading-engine 0 pkt/s live

Experience

Six years in. Banking infrastructure, a founding year on an agent stack, and a classroom.

2025 — present

Chiang Rai, remote

Professor

HAIT

AI university

  • Teach at an AI university still standing up.
  • Own the IT — hosting, security, and the stack the school runs on.
  • Rebuilt the public site and the PHP under it so recruiting works.

Sep 2025 — Aug 2026

New York

Lead Founding AI Engineer

Stealth fintech

Agentic stock trading engine, zero to one

  • Built the Python and Kafka market-data pipeline the agents traded on, across multiple exchanges.
  • Built the agent loop that audits portfolios against legacy SQL with modern LLMs.
  • Owned MLOps: PyTorch time-series models, live signals, backtesting, and daily pre-market briefings.

May 2022 — Jul 2025

New York

Full Stack Engineer

Goldman Sachs

Forward deployment and automation

  • Designed and shipped a beneficiary management system serving 10,000+ client accounts and cut data processing time by 80%.
  • Scaled Java and Kafka pipelines and REST APIs used by 50+ internal teams, cutting data-access latency by 15%.
  • Built a Selenium and TestNG suite that raised test accuracy 22% across hundreds of financial and compliance scenarios, and stayed on the line for trading, compliance, and market-data APIs after they shipped.

Oct 2020 — May 2022

Full Stack Software Engineer

One Dave Software

  • Built and maintained full-stack web applications for clients in national defense and nuclear energy.
  • Led a system-wide upgrade that improved email server response time by 70%.

Education

  • 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

Selected work

Local Lattice on PyPI. Then the sites I can put a URL on.

Open source · 2026

Local Lattice

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.

  • Backends fit in — MLX, LM Studio, cloud — then you assign role:coder, role:reasoner, role:fast.
  • Swarm primitives as HTTP: fanout, vote, pipeline, debate.
  • Admission queue and a hybrid local + cloud swarm, MLX-native. Apache-2.0.

pip install local-lattice

Homepage of haitedu.com, designed by Chris Swim Lee

University · 2025

HAIT

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.

  • Redesigned the front-end and upgraded the PHP underneath it.
  • The sites were slow. I reconfigured them so they run.
  • Now designing their IT systems — hosting, security, and the stack the school will run on.
Homepage of d22soso.com, designed by Chris Swim Lee

Archive · 2025

D22-soso

d22soso.com

A site for Wayne “D22-soso” Chiang — 1999 Brood War World Champion, WSOP talent manager, and inventor of 2 Hand Hold’em.

  • Championship record, WSOP media, and the patented two-hand game, on one site.
  • Playable pieces in the record — a Random race roll and an in-site 2HH table.

Services

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

Diagnostic

$1,000

We look at what is stuck and I tell you what to do first. You leave with that in writing.

Scoped project

Build

From $20,000

An internal tool, an agent, or the pipeline under them. A public site alone is not the job.

per month

Retainer

$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.

  • For companies that already pay for software. Not for brochure sites, students, or equity-only work.
  • New York or remote. Builds start with a diagnostic unless the scope is already clear.
  • Diagnostic, retainer, and day rate are listed. Builds start at $20,000.

About

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.

Email

Tell me what’s stuck. Data, automation, agents — I’ll tell you what to do first.