Ehsan Rahimi

AI Builder · Agentic Systems · Applied AI Products

Building practical AI systems from Dubai for real-world workflows, learning, automation, and intelligent operations.

I am Ehsan Rahimi, an AI builder, technology strategist, and software architect based in Dubai, UAE.

My work focuses on building practical AI systems that move beyond demos: agentic workflows, AI-assisted business tools, learning platforms, automation pipelines, computer vision systems, and developer-facing products.

I am especially interested in:

• Agentic AI systems and multi-agent orchestration
• AI operating systems for organizations and personal productivity
• Applied computer vision for real-world business workflows
• AI-powered education and adaptive learning systems
• Human-in-the-loop automation with approval, governance, and auditability
• Developer tools that help small teams build faster and smarter

In 2025, I was part of Team_152, which won 3rd place overall at the AAAI 2025 Hackathon with an AI-powered smart tutor project.

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I am currently working on multiple pilot projects around:

• Multi-agent AI orchestration
• AI-assisted planning and proposal generation
• Product and asset automation pipelines
• AI-powered IELTS preparation
• Personal AI assistants and workflow automation
• Computer vision tools for scanning, detection, and structured data extraction

A multi-agent AI operating-system kernel for orchestrating specialized AI services.

AOS is an experimental AI system architecture focused on service orchestration, event streaming, memory, documentation, governance, and human approval workflows.

Key ideas:

• Multi-agent orchestration
• Service registry and event bus
• Human approval gates
• Memory and documentation services
• Dashboard and operational visibility
• Governance-first automation

Repository: EsanRAHIMI/AOS

An AI-assisted system for analyzing floor plans and planning smart-home, CCTV, ELV, Wi-Fi, and automation layouts.

PlanIQ combines computer vision, OCR, rule-based planning, editable canvas workflows, and PDF export to support practical design and engineering decisions.

Key ideas:

• Floor-plan understanding
• Device placement recommendations
• Computer vision and OCR
• Smart-home and ELV planning
• Editable visual canvas
• Client-ready output generation

Repository: EsanRAHIMI/PlanIQ

An AI-powered IELTS preparation platform for vocabulary, phrases, sentence patterns, review, quizzes, and progress tracking.

IELTS-AI is designed as a structured learning assistant that turns study material into actionable learning objects and uses spaced repetition to support long-term retention.

Key ideas:

• AI-enriched vocabulary and phrase extraction
• Sentence pattern learning
• SM-2 spaced repetition
• Daily study plans
• Quiz and review workflows
• Progress tracking

Repository: EsanRAHIMI/IELTS-AI-

A personal AI assistant platform for knowledge, tasks, voice interaction, and workflow automation.

This project explores how a personal AI layer can help users manage information, interact through voice, and automate daily workflows with structured backend services.

Key ideas:

• Personal AI assistant architecture
• Voice and conversation workflows
• Authentication and backend services
• Knowledge and task management
• AI-assisted daily operations

Repository: EsanRAHIMI/i

A computer-vision and automation monorepo for product scanning, model training, image workflows, and proposal generation.

Scanner explores practical business automation through detection, structured data extraction, product media workflows, and AI-assisted operational tools.

Key ideas:

• Product scanning and detection
• YOLO-based training and inference
• Image processing workflows
• Proposal generation
• Business automation pipelines
• Multi-service architecture

Repository: EsanRAHIMI/Scanner

AI-powered smart tutor project — 3rd place overall at AAAI 2025 Hackathon.

This project represents my work with Team_152 during the AAAI 2025 Hackathon, where we built an AI-powered educational assistant focused on personalized learning support.

Key ideas:

• AI-powered tutoring
• Personalized learning
• Educational agents
• Human-centered AI
• Hackathon-grade rapid prototyping

Repositories:

• AAAI-2025-Hackathon/team_152
• Annual AAAI Conference on Artificial Intelligence

M.Sc. in Information Technology — Management Information Systems Ivanaki University

Research focus: intelligent systems, AI-assisted decision-making, and autonomous system design.

B.Eng. in Software Engineering Farahmand Institute of Higher Education

Focus: software architecture, enterprise systems, and application development.

• 3rd Place Overall — AAAI 2025 Hackathon
• AI builder and product developer working across real-world AI pilots
• Founder of Dubai-based technology company Al Najah Al Mudamun Trading Co. L.L.C
• Builder of multiple AI, automation, and applied software projects across education, business operations, computer vision, and agentic systems

I believe the next generation of software will not be only applications, dashboards, or chatbots.

It will be made of coordinated AI systems that can understand context, use tools, collaborate with humans, respect approval boundaries, and help individuals and organizations operate with more intelligence.

My long-term direction is to build practical infrastructure for:

• Human-AI collaboration
• Organizational AI agents
• AI-assisted learning systems
• Business process automation
• Personal AI operating layers
• Safer and more accountable agentic workflows

Building AI systems that are useful, understandable, and close to real-world work.

_{Last updated: June 2026}