You will get Build Advanced AI Apps with LLMs RAG Computer Vision and NLP
Project details
I deliver production-ready Machine Learning and Deep Learning solutions tailored to your exact business needs. Whether you need a fine-tuned LLM, a computer vision system, an NLP pipeline, or a fully automated ML workflow - I handle everything from raw data to deployed model.
Unlike generic developers, I combine strong software engineering with real research experience, meaning your model won't just work in testing - it will perform reliably in production. I use PyTorch, TensorFlow, HuggingFace, LangChain, FastAPI, Docker, AWS, and Kubernetes to build scalable, clean, and well-documented AI systems.
What you get with every order:
✅ Clean, documented, production-ready code
✅ Model trained and optimized for your data
✅ Full pipeline from preprocessing to deployment
✅ REST API integration if needed
✅ Post-delivery support and revisions
I have hands-on experience in computer vision, generative AI, LLM fine-tuning, RAG pipelines, and MLOps. Every solution I build is optimized for accuracy, speed, and real-world reliability.
📩 Message me before ordering - I will review your project and confirm I can deliver exactly what you need.
Unlike generic developers, I combine strong software engineering with real research experience, meaning your model won't just work in testing - it will perform reliably in production. I use PyTorch, TensorFlow, HuggingFace, LangChain, FastAPI, Docker, AWS, and Kubernetes to build scalable, clean, and well-documented AI systems.
What you get with every order:
✅ Clean, documented, production-ready code
✅ Model trained and optimized for your data
✅ Full pipeline from preprocessing to deployment
✅ REST API integration if needed
✅ Post-delivery support and revisions
I have hands-on experience in computer vision, generative AI, LLM fine-tuning, RAG pipelines, and MLOps. Every solution I build is optimized for accuracy, speed, and real-world reliability.
📩 Message me before ordering - I will review your project and confirm I can deliver exactly what you need.
Machine Learning Tools
Apache Spark, Azure Machine Learning, BERT, ChatGPT, Cloudera, Databricks Platform, deeplearn.js, Deeplearning4j, Google AutoML, Google Data Studio, Keras, Kubeflow, MLflow, NLTK, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, PyTorch, R, Salesforce Einstein, SciPy, Scrapy, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 2 | 3 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20
Additional Model Variation
(+ 1 Day)
+$20
Additional Graph/Chart
(+ 1 Day)
+$10Frequently asked questions
About Kamran Ullah
AI / Machine Learning Engineer | LLM Fine-Tuning, Computer Vision, Gen
Islamabad, Pakistan - 6:46 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 Analyze
Requirement Review Analyze client requirements, dataset, and project goals to confirm full scope and plan the best ML approach.
Data Preprocessing
Data Preprocessing, Clean, preprocess, and prepare the dataset including augmentation, feature engineering, and pipeline setup.