01 / FIELD NOTES OF A BUILDER
I build products where market research, machine intelligence, and production engineering meet.
Boston, MassachusettsOperating TradeWave, building the systems behind Seasonal Market News, developing TradeWave Realtime, and offering consulting on practical AI production systems.
A WORKING POSITION
The most useful technology does not ask for trust. It shows its work.”
My approach is evidence first and narratives second. Define the behavior. Measure it over time. Build a system people can inspect. Then improve it through real use.
That principle connects everything on this page.02 / SELECTED WORK
A quantitative seasonality and market-pattern platform built to make long-horizon evidence usable. Its AI analyst can operate the interface, conduct research, and explain findings in context.
Inspect the live platform ↗An automated research newsroom where more than nine specialized AI agents coordinate research, writing, independent review, and publication, while deterministic integrity gates can stop the process.
Read current coverage ↗A forthcoming real-time trading companion being developed around Anne-Marie Baiynd's intraday framework, with tracked system-activity reporting and permission-based memory planned.
Not yet publicly released03 / BACKGROUND
This is not a list of titles. It is a record of recurring work: finding a practical problem, engineering the system, and carrying it toward real use.
Built a medical image-management platform used across multiple clinical specialties, connecting software with real operational workflows.
Created InstantWeb, a website generator.
Authored 16 invention disclosures.
Moved deeply into machine learning and applied ML to medical-coding systems in a production environment.
Turning a long-running personal market-research practice into products, publishing systems, and an applied-AI company.
04 / OPERATING PRINCIPLES
Start with definitions and measurable behavior. Let the explanation follow the evidence.
A useful production system teaches more than a polished demonstration.
Good automation has boundaries, review points, and a clear way to stop.
Short feedback loops reveal what a product should become next.
05 / CONTACT
Product, research infrastructure, applied AI, or a partnership worth exploring.
afshin@tradewave.ai ↗