You will get a custom AI agent built with LangChain and OpenAI API
Project details
Your business generates documents, emails, reports, and data every day. Most of it sits unused. An AI agent reads it, reasons about it, and takes action on it automatically.
I build custom AI agents using LangChain, OpenAI API, and Python that don't just answer questions they execute tasks inside your existing systems.
WHAT I BUILD:
→ RAG agents: AI that reads YOUR documents (PDFs, databases, wikis) and answers questions accurately
→ Task agents: AI that takes multi-step actions search, decide, execute, report back
→ Document processors: extract structured data from any document format automatically
→ Research agents: gather information from multiple sources and synthesize into reports
→ Decision agents: evaluate inputs against rules/criteria and route to correct outcomes
→ Integration agents: connect to your CRMs, databases, APIs and perform actions
WHY IT WORKS:
Agents fail when they hallucinate or get stuck. I build with structured outputs, fallback logic, tool use validation, and logging so your agent stays reliable in production.
DELIVERED AS:
✓ Python codebase
✓ API endpoint if needed (FastAPI)
✓ Full documentation on how to extend and maintain
I build custom AI agents using LangChain, OpenAI API, and Python that don't just answer questions they execute tasks inside your existing systems.
WHAT I BUILD:
→ RAG agents: AI that reads YOUR documents (PDFs, databases, wikis) and answers questions accurately
→ Task agents: AI that takes multi-step actions search, decide, execute, report back
→ Document processors: extract structured data from any document format automatically
→ Research agents: gather information from multiple sources and synthesize into reports
→ Decision agents: evaluate inputs against rules/criteria and route to correct outcomes
→ Integration agents: connect to your CRMs, databases, APIs and perform actions
WHY IT WORKS:
Agents fail when they hallucinate or get stuck. I build with structured outputs, fallback logic, tool use validation, and logging so your agent stays reliable in production.
DELIVERED AS:
✓ Python codebase
✓ API endpoint if needed (FastAPI)
✓ Full documentation on how to extend and maintain
AI Algorithms
Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, StyleGAN, YOLOAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language Generation, Sentiment Analysis, Synthetic Data Generation, Text Recognition, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, Hugging Face, Jasper AI, Microsoft CNTK, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, GPT-4, GPT-Neo, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$350
|
Standard
$700
|
Advanced
$1,400
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 11 days |
Number of Revisions | 0 | 1 | 0 |
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 | - | - | - |
About Bilal
AI Automation Expert | n8n | Make .com | LLM Integration | OpenAI
Islamabad, Pakistan - 8:02 am local time
I'm Bilal an AI Automation Expert specializing in n8n, Make com, LLM Integration,
and Agentic Workflows. I build end-to-end automation systems that eliminate repetitive
tasks and replace them with intelligent, self-running pipelines.
━━ WHAT I BUILD ━━
→ AI Agents that think, decide, and take action autonomously
→ LLM pipelines that read documents, extract insights, and route to the right system
→ n8n & Makecom workflows replacing entire manual processes
→ Voice AI agents handling lead qualification, appointment booking via phone
→ CRM automation: leads scored, reports sent, inbox managed — zero human touch
→ Web scrapers + data pipelines feeding AI-powered decision dashboards
→ Social media automation: posting bots, reply bots, engagement systems
━━ RESULTS I'VE DELIVERED ━━
✓ Eliminated 80%+ manual operations for a global client via full workflow automation
✓ Built Clozr AI — an agent scraping categories & reports, data updated in real-time
✓ Deployed AI Calling Agent for automated lead pre-qualification via voice
✓ Created ZetAI — AI Voice Agent executing real tasks via spoken commands
✓ Built 100+ enterprise AI systems for international clients on Fiverr
━━ MY TECH STACK ━━
AI/LLM: OpenAI API, LangChain, RAG Systems, Claude API, Groq
Automation: n8n, Make com, Zapier, Python (FastAPI, Pandas, Selenium)
Data: PostgreSQL, Supabase, Airtable, Google Sheets pipelines
Integrations: Slack, Gmail, Notion, HubSpot, WhatsApp, Telegram
━━ HOW IT WORKS ━━
1. You tell me what your team does manually, repeatedly.
2. I map out the automation architecture and show you the exact build plan.
3. We build it, test it with live data, and I hand over full documentation.
4. It runs. You don't touch it again.
Available 30+ hrs/week • Response within 1 hours • UTC+5 (overlaps US morning)
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.
Delivery
✓ Python codebase (clean, commented, ready to deploy) ✓ API endpoint if needed (FastAPI) ✓ Full documentation on how to extend and maintain