This is the traditional view of a career better experienced as a system: THE CONVERGENCE →

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Majid Asghari Tabrizi

Product Lead — AI — Systems · AI-native organization design

quantiviq.xyz · majid@quantiviq.xyz · github.com/MajidAsghariTabrizi · linkedin.com/in/majid-asghari

Thesis

One career, deeper layers: how software works → how products create value → how teams create products → how organizations operate → how complex systems make decisions → how AI can act → how AI can learn → how human + AI organizations should operate. Not a sequence of titles — a sequence of increasingly harder questions about reality, decisions, autonomy and learning.

Career layers

2008–2014TECHNOLOGYHow software works — and how it survives contact with production.
2014–2018PRODUCTHow products create value — for whom, and what changes if you build it.
2018–2020ORGANIZATIONHow teams create products — the system around the code.
2020–2023MARKETPLACE SYSTEMSHow organizations operate — every decision propagates.
2023–2026DECISION SYSTEMSHow complex systems make decisions — under uncertainty, with consequences.
2025AI INFRASTRUCTUREIntelligence became infrastructure — routed, ranked, budgeted.
2025–2026AGENT RUNTIMEFrom model to worker — governed execution, recovery, verification.
2026LEARNING SYSTEMSWhat if the system didn’t start from zero every time?
NOWLEARNING SYSTEMSAI-native operating systems — the convergence of every layer.

Employers (owner-verified list): SnappMarket · Okala · Alibaba Travels Co. · SportMob · Daapapp · Infinite8. Role details available on request.

Certification: Professional Scrum Master I (PSM I).

Selected systems (public proof)

Phoenix — Retired 2026-09-17 — disciplined shutdown, measured negative result

Production-grade, fail-closed financial intelligence and execution system for Arbitrum — retired after measurement, with the negative result kept public.

Smart Trader — Archived · data frozen 2026-09-23

A decision-intelligence trading system: market structure, behavior signals, and explicit risk gates.

Free Best Router — MIT · v0.1.0 released

One OpenAI-compatible endpoint that automatically discovers, ranks, and routes to the best available free AI model.

Universal Engineering Agent — MIT · reference implementation

A profile-agnostic, runnable, MIT-licensed reference implementation of an engineering-agent operating-kernel contract.

How I work

  • Reality over architecture; evidence over confidence; no edge, no bet.
  • Abstention is a valid decision; fail closed when downside is asymmetric.
  • Cheapest experiment before machine; separate intelligence from authority.
  • Learning must preserve provenance; technical difficulty is not commercial validation.