You will get a custom AI agent or automation system in Python , n8n, Zapier ...
Project details
I build autonomous AI Agents that don't just "chat," but actually work. By combining LangChain/CrewAI with your existing CRM (Salesforce/HubSpot), I create systems that automate lead prospecting, data enrichment, and workflow management.
What sets this project apart:
Enterprise Experience: Built systems that reduced manual prospecting time by 60% for previous clients.
Production-Ready: My agents include error handling and "human-in-the-loop" checkpoints to ensure data accuracy.
Custom Tooling: I don't use generic wrappers; I build custom API integrations to ensure the AI fits your specific business logic.
What sets this project apart:
Enterprise Experience: Built systems that reduced manual prospecting time by 60% for previous clients.
Production-Ready: My agents include error handling and "human-in-the-loop" checkpoints to ensure data accuracy.
Custom Tooling: I don't use generic wrappers; I build custom API integrations to ensure the AI fits your specific business logic.
AI Algorithms
Convolutional Neural Network, Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Text-to-Image, AI-Generated Code, Anomaly Detection, Conversational AI, Image ProcessingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Hugging Face, NVIDIA AI Platform, PyTorchAI Models
BERT, ChatGPT, GPT-4, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 3 | 5 |
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 Mohamed
AI Engineer LLM Apps Autonomous Agents RAG Systems
Casablanca, Morocco - 2:59 am local time
At YBA (Paris), I designed end-to-end agentic pipelines for B2B sales automation: web scraping agents, AI email drafting agents, and CRM sync agents integrated with Salesforce, HubSpot, and Boond via REST APIs and webhooks. The result: ~60% reduction in prospecting time.
What I build for clients:
→ LLM-powered chatbots and assistants (GPT-4, Claude, Mistral)
→ Autonomous AI agents with tool-calling, memory, and fallback logic
→ RAG pipelines — document ingestion, vector search, retrieval-augmented Q&A
→ Workflow automation — CRM enrichment, lead gen, email drafting, OCR pipelines
→ FastAPI microservices to expose AI systems as production APIs
Stack: Python · LangChain · OpenAI / Anthropic APIs · FastAPI · Docker · Salesforce · HubSpot · Pinecone / FAISS · React
If you need an AI system built not just prototyped let's talk.
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & Logic Mapping
I will analyze your workflow and map out the agentic logic. This includes defining the "tools" the agent will use (web search, CRM API, etc.) and the prompts that will guide its decision-making.
Development & Integration
I build the agentic pipeline using Python (LangChain/CrewAI). During this phase, I integrate the LLM with your CRM or database to ensure seamless data flow and autonomous operation.