You will get Generative AI Chatbots RAG Agents and Workflow Automation
Project details
You will get a professional Generative AI solution built for your business needs, including RAG chatbots, AI agents, LLM apps, workflow automation, knowledge base assistants, API integrations, and deployment-ready AI systems. I focus on building practical AI products that are not only technically strong but also useful, scalable, and easy to understand.
I can help you create AI chatbots trained on your documents, automate business workflows, connect AI with your existing tools, build LangChain or LangGraph pipelines, integrate OpenAI, Claude, Gemini, Llama, Hugging Face, Pinecone, Chroma, Qdrant, FastAPI, n8n, Make, Zapier, and design custom AI automation systems.
What sets this project apart is the combination of AI engineering, clean Python development, model integration, API workflow design, and real business-focused implementation. You will receive organized code, clear documentation, tested workflow, and guidance for deployment or future improvement.
This project is ideal for startups, businesses, researchers, and teams that want to use Generative AI, RAG, AI agents, and automation to save time, improve productivity, and build smarter digital systems.
I can help you create AI chatbots trained on your documents, automate business workflows, connect AI with your existing tools, build LangChain or LangGraph pipelines, integrate OpenAI, Claude, Gemini, Llama, Hugging Face, Pinecone, Chroma, Qdrant, FastAPI, n8n, Make, Zapier, and design custom AI automation systems.
What sets this project apart is the combination of AI engineering, clean Python development, model integration, API workflow design, and real business-focused implementation. You will receive organized code, clear documentation, tested workflow, and guidance for deployment or future improvement.
This project is ideal for startups, businesses, researchers, and teams that want to use Generative AI, RAG, AI agents, and automation to save time, improve productivity, and build smarter digital systems.
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Recurrent Neural Network, Transformer Model, Variational Autoencoder, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Image, AI-Enhanced Medical Imaging, Image Analysis, Image Processing, Image Recognition, Image-to-Image Translation, Natural Language Understanding, Sentiment Analysis, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, Jasper AI, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, BLOOM, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, Jurassic-2, LaMDA, LLaMA, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 2 | 3 | 4 |
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
+$50
Additional Revision
+$50
Major Changes
(+ 1 Day)
+$50Frequently asked questions
About Kamran Ullah
AI / Machine Learning Engineer | LLM Fine-Tuning, Computer Vision, Gen
Islamabad, Pakistan - 7:58 am local time
I help startups, research teams, and businesses develop scalable AI solutions from model training and data preprocessing to deployment APIs and cloud infrastructure. I combine strong research experience with practical engineering skills to deliver production-ready AI systems with high accuracy, efficiency, and scalability.
What I Can Help You With
✅ Fine-tuning and training LLMs (LoRA, QLoRA, PEFT)
✅ Transformer-based deep learning models
✅ Computer Vision applications
✅ Image classification, object detection, OCR, segmentation
✅ Generative AI pipelines and diffusion models
✅ Stable Diffusion, ControlNet, LoRA training
✅ Medical imaging and healthcare AI solutions
✅ NLP tasks and semantic search systems
✅ RAG pipelines and vector databases
✅ Dataset preprocessing, augmentation, and automation
✅ AI model optimization and inference acceleration
✅ PyTorch, TensorFlow, Keras development
✅ API integration and AI backend services
✅ AWS, Docker, Kubernetes, RunPod deployment
✅ End-to-end MLOps and cloud AI workflows
✅ Research-oriented AI development and experimentation
Technical Expertise:
AI / Deep Learning:
PyTorch
TensorFlow
Keras
Hugging Face Transformers
OpenCV
Diffusers
Scikit-learn
Generative AI:
Stable Diffusion
SDXL
LoRA / QLoRA
ControlNet
DreamBooth
Diffusion-based augmentation
Image generation workflows
NLP & LLMs:
LLM Fine-Tuning
RAG Systems
Semantic Similarity
Embeddings
Topic Modeling
Keyword Extraction
Vector Databases
LangChain
Computer Vision:
Classification
Segmentation
Detection
OCR
Medical Imaging
Vision Transformers (ViTs)
Image Enhancement
Deployment & MLOps:
FastAPI
REST APIs
Docker
Kubernetes
AWS
RunPod
CI/CD Pipelines
Model Serving
Why Clients Work with Me:
✔ Research + industry experience
✔ Production-ready AI solutions
✔ Clean and scalable code
✔ Strong communication and collaboration
✔ Fast learning and problem solving
✔ Focus on accuracy, optimization, and deployment
Steps for completing your project
After purchasing the project, send requirements so Kamran Ullah can start the project.
Delivery time starts when Kamran Ullah receives requirements from you.
Kamran Ullah works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review
I will review your AI project goal, documents, APIs, tools, workflow needs, and expected output to define the best technical approach.
System Design
I will design the AI workflow, RAG pipeline, chatbot logic, AI agent flow, automation process, API structure, and required integrations.