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
V12 · selected launches
Built from zero. Running in public.
Independent products I led from product strategy and system architecture through launch and live operations.
LIVE PRODUCT
Pejvak Media
A Persian editorial publication built end to end — research pipeline, editorial review, automated publishing, analytics, and a reader-first news experience.
Product · Engineering · Editorial automation
- Next.js
- Postgres
- AI pipeline
- Telegram ops
LIVE PRODUCT
ViennaRide
A premium transfer and chauffeur platform for Austria — brand, fleet catalogue, multilingual journeys, pricing, and the complete ride-request flow.
Strategy · Design · Full-stack WordPress delivery
- WordPress
- Custom theme
- Booking UX
- Multilingual
LIVE PRODUCT
Spectra AI
An intelligent website auditor that turns a URL into a structured technical and business diagnosis — scores, prioritized issues, practical fixes, and an AI-guided report.
Product · AI engineering · Audit experience
- Next.js
- AI analysis
- Technical SEO
- Actionable reporting
These products are independently deployed and maintained. Links open the live systems.
Private systems
Private intelligence at work.
Intelligent internal systems where specialized AI agents understand context, collaborate daily, and solve real operational problems.
PRIVATE SYSTEM
Corta
My private intelligent business operating system, powered by 10 specialized AI agents. They continuously understand operational context, monitor signals, remember what matters, and meet every day to debate real business issues, challenge one another, and turn their collective intelligence into ranked actions.
AI system architecture · Intelligent agent orchestration · Autonomous operations
- 10 intelligent AI agents
- Daily AI council
- Persistent intelligence
- Human-approved action
Personal system · not publicly accessiblePrivate systemLOCKED
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