Applied AI Systems: Automation, Agents & Intelligent Web AppsHira Saleem
I design and build applied AI systems that automate workflows, power intelligent agents, and enable real-world decision-making. My focus is on production-ready AI - not demos - integrating agents, automation, and intelligent web apps into business-critical systems. These solutions are designed to scale, adapt, and deliver measurable impact.
What's included
Stage 1: Problem Framing & System Design
AI use-case definition aligned with business goals
Agent/system architecture (data flow, decision logic, integrations)
Tool and model selection
Stage 2: AI Agent & Automation Development
Custom AI agents (chat, research, operations, decision support)
Workflow automation using n8n / Make
API integrations (CRM, Shopify, internal tools, databases)
Stage 3: Intelligent Web Application
AI-powered web interface (dashboards, chat UI, control panels)
Backend logic for orchestration and memory
Secure authentication and access control
Stage 4: Testing & QA:
Thorough testing to ensure it functions smoothly across various scenarios.
Debugging and refinement based on test results.
Stage 5: Deployment & Optimization
Cloud deployment & monitoring setup
Performance tuning and reliability improvements
Documentation and handover
Contact for pricing
Duration1 week
Tags
LangChain
N8N
Next.js
Node.js
Python
AI Developer
Backend Engineer
Software Engineer
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Hira Saleem United Arab Emirates
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Applied AI Systems: Automation, Agents & Intelligent Web AppsHira Saleem
Contact for pricing
Duration1 week
Tags
LangChain
N8N
Next.js
Node.js
Python
AI Developer
Backend Engineer
Software Engineer
I design and build applied AI systems that automate workflows, power intelligent agents, and enable real-world decision-making. My focus is on production-ready AI - not demos - integrating agents, automation, and intelligent web apps into business-critical systems. These solutions are designed to scale, adapt, and deliver measurable impact.
What's included
Stage 1: Problem Framing & System Design
AI use-case definition aligned with business goals
Agent/system architecture (data flow, decision logic, integrations)
Tool and model selection
Stage 2: AI Agent & Automation Development
Custom AI agents (chat, research, operations, decision support)
Workflow automation using n8n / Make
API integrations (CRM, Shopify, internal tools, databases)
Stage 3: Intelligent Web Application
AI-powered web interface (dashboards, chat UI, control panels)
Backend logic for orchestration and memory
Secure authentication and access control
Stage 4: Testing & QA:
Thorough testing to ensure it functions smoothly across various scenarios.
Debugging and refinement based on test results.
Stage 5: Deployment & Optimization
Cloud deployment & monitoring setup
Performance tuning and reliability improvements
Documentation and handover
Contact for pricing