01foundation
foundation
Mathematics
01 / 09
The foundation under everything — how I reason about systems, models, and optimization.
Danial Jamali
I design AI products, automation infrastructure, and analytics platforms — built to run in production, not in demos.
Production AI & automation.
AI Systems · Data Intelligence · Automation Infrastructure
····
the mind
Every layer built on the one beneath it.
Not a résumé — a dependency graph. The stack peels itself — use the arrows anytime to take over.
the work
Systems I build.
The site you are on right now is one of these systems — analytics, secure contact, and reporting. Four other worlds each carry their own architecture and implementation depth.
The stack advances itself — swipe anytime, tap Enter to go deeper.
01 / 05 · autoT1 · in-repo
T1 · in-repo
Live Platform
Analytics, reporting, hardened contact, admin inbox — this site as proof.
Step inside — inspect every subsystem.
Flagship · AI
Chatbot
Culinary intelligence — fly inside a single reply.
Fly inside inference — then surface the map.
BI · Analytics
Data & Decision Intelligence
Fragmented sources → one decision layer.
Sources converge — decisions update.
Data · ML
Forecasting Pipeline
Warehouse → features → model → production reporting.
Notebook exploration — pipeline truth.
n8n · Agents
Agent Automation
Trigger, reason, act — production workflows.
Agents reason — then act across systems.
Hover a world · click to enter
product · hooshmand
Hooshmand — smart head chef for real cooking questions.
Five-stage production workflow: understand → retrieve → reason → compose → respond. Retrieval, pantry match, and streamed replies in chat.
case study · verified
You’re experiencing this site.
The site you are on right now — analytics, scheduled reports, hardened contact, admin inbox. Every layer is inspectable in this repository.
Visit analytics · Hardened contact · Admin inbox · Monthly reports
case study
Fragmented data becomes one decision layer.
ERP, CRM, Sheets, and APIs become one decision layer — watch a signal drop through the stack.
signal drop · 1 / 3
ERPorders · inventory
Sources
ETL
Models
Decisions
orders · inventory
decision lands
Which SKUs need reorder this week?
ops · dailylive
Swipe for next signal · tap dots to jump
case study
Messy data in — production forecasts out.
One shuttle pass at a time — warehouse tables become a published forecast.
shuttle pass · 01 Ingest
df = load_orders_table("fact_orders")Notebook validates schema; pipeline owns the schedule.
decision
Feature store over ad-hoc transformsLag features and rolling aggregates are versioned and reusable — not recomputed in every notebook cell.Swipe for next shed · tap rings to jump
case study
Agents reason — then act.
New orders need account and stock context before anyone acts. One agent run updates ERP and notifies ops — instead of a person chasing systems by hand.
step · 01 / 5
Live hop
WebhooktriggerAgentpython worker
Order landsn8n's webhook catches a new order and starts the run.
Swipe · tap a step
Act IV · Builder
After the worlds — the person behind the systems.
Danial Jamali
I build systems that keep workinglong after I log off.
industrial engineering · builder of systems
I design and ship production systems — AI products, analytics platforms, and automation infrastructure. Industrial engineering trained me to optimize under constraint; software is where I execute.
AI Systems · Data Intelligence · Automation Infrastructure
credentials · verified
Verified credentials
- Programming with Python — Tehran Institute of Technology · Mar 11, 2025
- Data Analysis with Python — Tehran Institute of Technology · Dec 22, 2025
- Python for Data Engineering — Farataraz Danesh · Aug 6, 2026
- Elements of AI — University of Helsinki · MinnaLearn · Nov 30, 2025
- AI for Work and Life — University of North Florida · Dec 16, 2025
- One Million Prompters — Dubai Future Foundation · Dubai Centre for Artificial Intelligence
- SPSS: A Practical Guide to Data Analysis — Udemy · Feb 21, 2026
- Explore core data concepts — Microsoft Learn · Dec 15, 2025
- Explore data roles and services — Microsoft Learn · Dec 15, 2025
- Explore fundamentals of data visualization — Microsoft Learn · Dec 15, 2025
- Explore fundamentals of real-time analytics — Microsoft Learn · Dec 15, 2025
- Explore fundamentals of large-scale analytics — Microsoft Learn · Dec 15, 2025
Act V · Invitation
Direct channel · open
If the problem is hard, I want to hear it.
AI systems, data platforms, automation, or architecture — tell me what you are building and where it breaks. I read every message personally.
encrypted intaketoken · honeypot · direct