You will get get a RAG-based chatbot trained on your private data.
Project details
Turn your static documents, PDFs, and databases into an intelligent AI expert that knows your business inside and out.
General AI models like ChatGPT lack knowledge of your specific data. I bridge that gap by building a Retrieval Augmented Generation (RAG) System. This allows your AI to answer questions and assist users using only your trusted private data to ensure accuracy and eliminate hallucinations.
What you get: You will receive a smart Chat with Your Data system that instantly retrieves answers from your files. I can implement Agentic AI workflows where the AI plans and executes complex tasks. The system is engineered to base its answers strictly on the knowledge base you provide, built using industry standards like LangChain and top tier Vector Databases.
Perfect for: This service is ideal for Customer Support to automate queries with a bot that knows your manuals. It works for Legal and HR teams who need to find policies in massive archives. It also serves as an Internal Knowledge brain for your company.
I utilize frameworks including LangChain, LlamaIndex, and AutoGen. I work with models like OpenAI GPT4, Gemini, and Claude. For storage, I use Pinecone and FAISS.
General AI models like ChatGPT lack knowledge of your specific data. I bridge that gap by building a Retrieval Augmented Generation (RAG) System. This allows your AI to answer questions and assist users using only your trusted private data to ensure accuracy and eliminate hallucinations.
What you get: You will receive a smart Chat with Your Data system that instantly retrieves answers from your files. I can implement Agentic AI workflows where the AI plans and executes complex tasks. The system is engineered to base its answers strictly on the knowledge base you provide, built using industry standards like LangChain and top tier Vector Databases.
Perfect for: This service is ideal for Customer Support to automate queries with a bot that knows your manuals. It works for Legal and HR teams who need to find policies in massive archives. It also serves as an Internal Knowledge brain for your company.
I utilize frameworks including LangChain, LlamaIndex, and AutoGen. I work with models like OpenAI GPT4, Gemini, and Claude. For storage, I use Pinecone and FAISS.
AI Algorithms
AlexNet, Convolutional Neural Network, CycleGAN, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Self-Organizing Map, StyleGAN, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, Anomaly Detection, Automatic Speech Recognition, Conversational AI, Facial Recognition, Image Recognition, Object Detection, Sentiment Analysis, Speech Synthesis, Synthetic Data Generation, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, Microsoft 365 Copilot, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Frequently asked questions
About Sheraz
AI Automation Expert | AI chatbot Developer | Agentic AI | RAG
Rawalpindi, Pakistan - 2:13 am local time
I help businesses transform raw data into actionable insights by designing and deploying high-performance AI automation models across various domains, including api automation, open ai api, NLP, and predictive analytics.
🚀 What I Can Do for You
Build, train, and optimize open ai api models
Design end-to-end mlm software pipelines
Develop advanced AI chatbot solutions (LLMs, RAG, Agents)
Apply deep learning techniques to images, text, and time-series data
Implement deep learning computer vision systems (object detection, classification)
Work with modern architectures including Transformers and federated systems (federated machine learning)
Deploy models using scalable APIs (Flask, FastAPI) and cloud platforms (AWS)
🛠️ Core Expertise
AI and API automation & Machine Learning Python
Deep Learning & AI Deep Learning
Computer Vision Machine Learning
Natural Language Processing (BERT, GPT, sentiment analysis)
MLM software developer & MLOps workflows
Data preprocessing, feature engineering, and optimization
Model deployment (Docker, APIs, AWS)
🤖 Generative AI & Advanced Systems
As an AI chatbot developer, I build intelligent conversational systems and agent-based workflows using:
RAG Pipelines (Retrieval-Augmented Generation)
LangChain, LangGraph, LlamaIndex, CrewAI
OpenAI, Google Gemini, Multi-model AI systems
Autonomous AI automations and MCP servers
🧰 Tools & Technologies I Use
Claude (Anthropic)
OpenAI (GPT-4, GPT-4o, GPT-5)
Google Gemini
Meta LLaMA / LLaMA 3
Mistral AI
Python (TensorFlow, PyTorch, Scikit-learn)
Hugging Face Transformers
ChromaDB, Pinecone (Vector Databases)
Docker & Kubernetes
FastAPI, Flask
AWS (EC2, S3, Lambda, SageMaker)
Git, GitHub, CI/CD pipelines
Steps for completing your project
After purchasing the project, send requirements so Sheraz can start the project.
Delivery time starts when Sheraz receives requirements from you.
Sheraz works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze your documents and chatbot goals