You will get Python, Data Science, Machine Learning, Deep Learning and AI
Project details
Hi, I'm a passionate AI/ML Engineer with hands-on experience building intelligent, scalable, and production-ready AI solutions. I specialize in integrating modern AI techniques into real-world systems—spanning from classical ML to LLMs and agent-based architectures.
My core expertise includes:
AI Development (ML, Deep Learning, Reinforcement Learning, Generative AI)
Large Language Models (LLMs), Transformers, and Fine-Tuning
Retrieval-Augmented Generation (RAG) and Vector Search (ChromaDB, FAISS)
Autonomous AI Agents & Workflow Automation (LangChain, LangGraph, CrewAI, n8n)
Full-Stack AI App Development (Backend: FastAPI, Flask, Django | Frontend: Streamlit, Gradio)
End-to-End Pipelines for NLP, Computer Vision, and Predictive Modeling
Cloud-Based Deployment (AWS, GCP, Azure)
Data Science, Feature Engineering, Model Optimization
I take pride in solving complex problems with elegant AI solutions that exceed expectations.
Let’s connect and bring your AI ideas to life. Thanks!
My core expertise includes:
AI Development (ML, Deep Learning, Reinforcement Learning, Generative AI)
Large Language Models (LLMs), Transformers, and Fine-Tuning
Retrieval-Augmented Generation (RAG) and Vector Search (ChromaDB, FAISS)
Autonomous AI Agents & Workflow Automation (LangChain, LangGraph, CrewAI, n8n)
Full-Stack AI App Development (Backend: FastAPI, Flask, Django | Frontend: Streamlit, Gradio)
End-to-End Pipelines for NLP, Computer Vision, and Predictive Modeling
Cloud-Based Deployment (AWS, GCP, Azure)
Data Science, Feature Engineering, Model Optimization
I take pride in solving complex problems with elegant AI solutions that exceed expectations.
Let’s connect and bring your AI ideas to life. Thanks!
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Deeplearning4j, Keras, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 3 | 3 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | ||
Source Code | - | - | |
Taxonomy | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50
Additional Revision
+$20About Hamza
AI & Machine Learning Engineer
Lahore, Pakistan - 9:16 pm local time
✔ Advanced Prompt Engineering – Crafting high-performance prompts for ChatGPT, Claude, Gemini & custom LLMs
✔ Predictive Maintenance – Reducing machine downtime with ML models (CatBoost, Random Forest)
✔ LLM Development & Fine-Tuning – RAG pipelines, autonomous agents & custom deployments
✔ Computer Vision & NLP – From medical text analysis to multi-class image recognition
I bridge the gap between cutting-edge AI research and real-world business applications.
đź’ˇ Core Services
1. Advanced Prompt Engineering & LLM Optimization
Design high-conversion prompts for ChatGPT, Claude, Gemini, and custom LLMs
Develop structured prompt templates for consistent, high-quality outputs
Optimize prompts for technical writing, creative tasks, and business automation
Implement few-shot learning & chain-of-thought prompting for complex reasoning
Build custom RAG systems to enhance LLM accuracy with your proprietary data
2. Predictive Maintenance & Industrial AI
Develop CatBoost/Random Forest models to predict equipment failures from sensor data
Feature engineering for temperature, torque, vibration, and tool wear metrics
Implement SMOTE for class imbalance and hyperparameter tuning
Impact: Reduced downtime by 30%+ in industrial applications
3. Custom LLM & AI Agent Development
Fine-tune Llama 2, GPT-4, and open-source LLMs for domain-specific tasks
Build autonomous multi-agent systems (planning, memory, specialist agents)
Deploy RAG pipelines with ChromaDB/Weaviate for knowledge-enhanced AI
Develop AI workflows with LangChain, AutoGen, and custom tools
4. Deep Learning & Computer Vision
Image classification (e.g., 101-class Food Vision model @ 85% accuracy)
Transfer learning with EfficientNet, ResNet
Medical NLP (80% accuracy on abstract classification)
🛠️ Technical Stack
Prompt Engineering: ChatGPT, Claude, Gemini, Llama 2, RAG, few-shot learning
ML/DL: CatBoost, Random Forest, CNN, LSTM, Transformers, TensorFlow, PyTorch
LLM Tools: LangChain, LlamaIndex, HuggingFace, Modal, ChromaDB
Languages: Python, R
Deployment: FastAPI, Docker, GCP, Gradio
🌟 Why Choose Me?
✅ Full-Cycle AI Development – From prompt design to deployed model
✅ Proven Industrial Impact – ML models that reduce costs & boost efficiency
✅ Cutting-Edge LLM Expertise – Beyond basic ChatGPT prompts to custom AI agents
✅ Clear Communication – Technical clarity for stakeholders at all levels
đź“© Let's Build AI That Works for You!
Need:
🔹 Optimized prompts that actually deliver results?
🔹 A predictive maintenance solution to cut downtime?
🔹 A custom LLM/RAG system with your data?
Send me a message – let's discuss how AI can transform your workflow!
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
Exploratory Data Analysis (EDA)
I will perform analysis in step-by-step procedure which will generally include: 1) Data Collection 2) Data Preprocessing 3) Data Cleansing 5) Exploratory Data Analysis (EDA) 6) Report With Explanations & Conclusions