10/02/2026 updated


100 % available
AI Agent & Automation Engineer | Python, LLM, RAG, APIs & Multi-Agent Systems
tehran, Iran
Worldwide
AI AgentsRAGOpenAIApplication Programming Interfaces (APIs)Artificial IntelligenceTest AutomationGitHubPython (Programming Language)Software ArchitectureWorkflowsLarge Language ModelsMulti-Agent SystemsPrompt EngineeringGenerative AI
I build AI agents, automation systems, and AI-powered applications using Python, LLMs, APIs, and modern agent architectures.
My work focuses on autonomous and multi-agent systems, workflow automation, tool integration, AI orchestration, verification, memory systems, and reliable execution pipelines.
Technical experience includes Python, REST APIs, OpenAI and Claude integrations, LLM orchestration, RAG, vector databases, MCP, prompt engineering, agent workflows, automated testing, Git/GitHub, and software architecture.
I have hands-on experience developing modular AI systems with multiple specialized agents, provider management, persistent knowledge and memory, planning and execution workflows, automated verification, and reliability layers for AI agents.
Areas I can help with:
• AI Agent Development
• Multi-Agent Systems
• AI Automation & Workflow Automation
• Python Development
• LLM & API Integration
• RAG & Knowledge Systems
• MCP & Tool Integration
• AI Assistants
• Agent Testing & Verification
• Backend Automation
• Existing AI System Debugging & Improvement
I focus on building maintainable, testable systems rather than simple AI demos or prompt-only solutions.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishGoodPersianNative speaker
Project history
Designing and developing a modular e-commerce and retail operations platform covering online sales, order management, customer management, payments, inventory, delivery workflows, and business operations.
Responsibilities include system architecture, backend and frontend design, order processing workflows, product and inventory management, customer club features, payment integration architecture, reporting, and administrative tools.
Designed a Windows order notification application for real-time incoming order alerts, order management, and 80 mm thermal receipt printing. The system also includes QR-based delivery navigation and zone-based delivery management.
Additional work includes configurable storefront themes and layouts, business reporting, legacy customer data migration, security considerations, and integration between the online store and local operational tools.
Technologies and concepts include web application development, APIs, databases, real-time notifications, desktop integration, e-commerce architecture, payment workflows, QR codes, thermal printing, data migration, Git/GitHub, testing, and modular software architecture.
Designed and led the development of Vanda Site, a production web platform for Sazeh Vanda, an architecture and construction company.
Built and implemented the platform on WordPress with a custom luxury, minimal and architectural design system, including responsive desktop/mobile layouts, animations, project showcases, dedicated project pages, galleries, services, company pages and customer contact workflows.
Developed the project showcase system with project galleries, categories, filtering, search, optimized lightbox functionality, responsive images and visual content protection including watermarking.
Implemented advanced customer and project inquiry forms, consultation requests and structured lead collection.
Implemented technical SEO and performance optimization including metadata, Open Graph, Schema, sitemap, breadcrumbs, WebP images, lazy loading, caching and CSS/JavaScript optimization.
Completed the platform through the v2.x development cycle and prepared the architecture for the v3.x expansion, including bilingual Persian/English support, dedicated service pages, administrative dashboards, project management, role-based access, tasks, calendars, analytics and internal collaboration tools.
Key areas: WordPress, UI/UX, responsive web design, CMS architecture, SEO, performance optimization, lead generation, project showcase systems and platform architecture.
Designing and developing a defensive verification and reliability layer for autonomous AI agents and AI-assisted software development workflows.
The project focuses on validating agent actions, enforcing execution boundaries, detecting unsafe or invalid behavior, preserving baseline integrity, and providing auditable verification before changes are accepted.
Responsibilities include system architecture, threat modeling, validation pipelines, automated testing, containment mechanisms, contract enforcement, failure analysis, remediation workflows, and independent re-audit processes.
Built extensive automated test coverage and adversarial test scenarios to identify reliability and security weaknesses in agent execution. The system follows fail-closed principles and emphasizes deterministic verification, traceability, and reproducible results.
Technologies and concepts include Python, AI Agents, automated testing, security validation, process isolation, agent orchestration, Git/GitHub, CI-style quality gates, software architecture, and defensive engineering.