You will get End-to-End Data Science with ML & AI Agent Dev using LangChain


Project details
I specialize in providing comprehensive end-to-end Data Science solutions that combine machine learning and sophisticated AI agent development with LangChain. My projects are unique because they seamlessly combine clever AI agents that are suited to your business goals, cutting-edge ML modeling, and strong data preprocessing. My area of expertise is developing scalable, effective pipelines that allow automation using specially designed AI agents in addition to offering precise predictive insights. I guarantee comprehensive documentation, maintainable code, and a seamless deployment process to get your solution production-ready, whether you need chatbots, recommendation systems, or retrieval-augmented generation (RAG) apps. My mission is to enable companies to easily obtain meaningful insights and efficiently use AI.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Google AutoML, Keras, MLflow, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - |
Frequently asked questions
About Muhammad Tayyab
Generative AI Developer | LangChain, RAG, Chatbot, Streamlit, Python
Wah Cantt, Pakistan - 6:56 am local time
Projects:
✅ Chatbot trained on PDF
✅ Blog title generator from GPT-4
✅ Document search engine using LangChain
Steps for completing your project
After purchasing the project, send requirements so Muhammad Tayyab can start the project.
Delivery time starts when Muhammad Tayyab receives requirements from you.
Muhammad Tayyab works on your project following the steps below.
Revisions may occur after the delivery date.
Project Kickoff
Client shares detailed requirements and data to start the project.
Data Preparation & Exploration
Clean, preprocess, and analyze data to understand patterns and quality.


