You will get Build AI Automation Systems, AI Agents & Workflow Integrations
Rising Talent
Project details
AI automation systems, autonomous AI agents, and workflow orchestration platforms that go beyond basic automation setups. If you're building internal operational tools, AI-powered workflows, SaaS automations, or multi-agent systems, I develop scalable backend infrastructures engineered for reliability, execution, and production deployment.
This includes:
• AI agents and autonomous workflows
• Multi-agent orchestration systems
• AI-powered business automation
• Workflow execution pipelines
• FastAPI backend architecture
• CRM and SaaS integrations
• API orchestration systems
• AI copilots and internal tools
• Cloud-ready deployment infrastructure
I prioritize:
• Scalable architecture
• Reliable execution
• Orchestration logic
• Low-latency workflows
• Production-grade infrastructure
If you need AI automation systems engineered for real operational use, I can help build them properly.
This includes:
• AI agents and autonomous workflows
• Multi-agent orchestration systems
• AI-powered business automation
• Workflow execution pipelines
• FastAPI backend architecture
• CRM and SaaS integrations
• API orchestration systems
• AI copilots and internal tools
• Cloud-ready deployment infrastructure
I prioritize:
• Scalable architecture
• Reliable execution
• Orchestration logic
• Low-latency workflows
• Production-grade infrastructure
If you need AI automation systems engineered for real operational use, I can help build them properly.
AI Algorithms
Feedforward Neural Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Conversational AI, Natural Language Generation, Natural Language Understanding, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, StreamlitAI Models
BERT, ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$699
|
Standard
$1,599
|
Advanced
$4,700
|
|---|---|---|---|
| Delivery Time | 5 days | 9 days | 19 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1,200 - $5,000
Additional Revision
+$390
Cloud Deployment Setup
(+ 5 Days)
+$950Frequently asked questions
About Bilal
AI Engineer | AI Agents, RAG, Voice AI & Automation
Birmingham, United Kingdom - 11:27 am local time
My work goes beyond prompt-level setups into full system design, backend architecture, and deployable AI infrastructure, helping startups and SaaS teams move from basic GPT integrations to stateful, scalable systems with proper orchestration, observability, and failure handling.
What I Deliver ☟
• AI agents with tool execution, workflow routing, and operational automation
• LLM-powered applications (OpenAI, Claude, multi-model systems)
• Claude AI / Anthropic API integration
• RAG systems, AI copilots, and multi-agent workflows to automate decisions and processes.
• End-to-end automation pipelines
• AI voice agents (real-time + async) & STT/TTS pipelines (Whisper, Assembly AI)
• FastAPI-based systems with robust API integrations (Notion, Google, Stripe)
• Production-ready patterns like rate limiting, retries, and queue-based processing
• Docker, CI/CD, and AWS/GCP, with a strong focus on monitoring, logging, and reliability
• Python, Node.js, LangChain, vector databases, and automation frameworks
• Built end-to-end AI platforms from workflow design and orchestration through backend APIs.
My recent work has included AI systems for SaaS, automation, and data-intensive operations, with a focus on scalable architecture, workflow orchestration, and production reliability ☟
• AI Calling Agent with real-time STT/TTS, RAG, escalation logic, and conversation state management
• AI Operations Copilot connecting CRM, APIs, Notion, and internal knowledge into a unified operational workflow
• AI Lead Generation Engine automating prospect discovery, scoring, outreach, and performance tracking
• AI Email Copilot for Outlook with context-aware response generation
• Intelligent Invoicing & SAP HANA Platform automating OCR extraction, approval routing, fraud detection, GL coding, and financial operations workflows
If you're building AI-driven products, automation systems, or scalable LLM applications, I'm open to architecture reviews, MVP builds, and long-term AI systems work.
For larger systems, I usually start with the first workflow milestone so the approach can be validated before expanding the full build.
Let's connect and discuss your use case.
Steps for completing your project
After purchasing the project, send requirements so Bilal can start the project.
Delivery time starts when Bilal receives requirements from you.
Bilal works on your project following the steps below.
Revisions may occur after the delivery date.
AI Automation System Development
Design, development, orchestration, integration, testing, and deployment of the AI automation system or multi-agent workflow infrastructure based on project requirements.