You will get Custom AI & ML Solutions: Chatbots, Computer Vision
Project details
I build custom AI & ML solutions that turn your data into real business value — not just models, but production-ready systems that work.
What makes me different:
→ End-to-end delivery: From data preprocessing to deployed application
→ Real projects: Built RAG systems, AI agents, CV pipelines, and predictive models
→ M.Sc. in AI (Università di Verona) with expertise in PyTorch, TensorFlow, LangChain, OpenCV
What you get:
• Machine Learning: Predictive analytics, classification, forecasting models for your data
• Computer Vision: Object detection (YOLO), image segmentation, facial recognition
• Generative AI: Custom chatbots (GPT/LLaMA), RAG pipelines, text summarization
• Deployment: Real-time apps via Streamlit with source code and documentation
My process: understand your problem, build the right model, test thoroughly, and deliver a working solution with clean code. Every project includes validation, source code, and docs so your team can maintain and extend it.
Whether you need a quick AI prototype or a full production pipeline, I deliver fast, communicate clearly, and build solutions that solve your problem.
What makes me different:
→ End-to-end delivery: From data preprocessing to deployed application
→ Real projects: Built RAG systems, AI agents, CV pipelines, and predictive models
→ M.Sc. in AI (Università di Verona) with expertise in PyTorch, TensorFlow, LangChain, OpenCV
What you get:
• Machine Learning: Predictive analytics, classification, forecasting models for your data
• Computer Vision: Object detection (YOLO), image segmentation, facial recognition
• Generative AI: Custom chatbots (GPT/LLaMA), RAG pipelines, text summarization
• Deployment: Real-time apps via Streamlit with source code and documentation
My process: understand your problem, build the right model, test thoroughly, and deliver a working solution with clean code. Every project includes validation, source code, and docs so your team can maintain and extend it.
Whether you need a quick AI prototype or a full production pipeline, I deliver fast, communicate clearly, and build solutions that solve your problem.
Machine Learning Tools
ChatGPT, GitHub Copilot, GPT-3, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 3 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 1
- Number of Graphs/Charts 2
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 2 Days Delivery
+$50
Additional Revision
+$15About Shahid
AI Engineer
Verona, Italy - 3:22 pm local time
I help businesses build complete working solutions, not just models or demos. My work includes AI chatbots, RAG assistants, computer vision systems, predictive ML models, automation workflows, dashboards, and full-stack AI web applications.
Core Skills:
Python, JavaScript, TypeScript, React, Next.js, Node.js, FastAPI, Streamlit, TensorFlow, PyTorch, scikit-learn, OpenAI, Claude, LangChain, LangGraph, RAG, REST APIs, SQL, MongoDB, Firebase, Supabase, Git/GitHub.
What I Can Build:
* AI chatbots and assistants
* RAG systems for PDFs, documents, and knowledge bases
* Machine learning and deep learning models
* Computer vision applications
* AI-powered dashboards and analytics tools
* Business automation workflows
* Full-stack AI web applications
* API integrations and backend systems
I focus on clean implementation, clear communication, and practical systems that are useful in real business workflows.
Steps for completing your project
After purchasing the project, send requirements so Shahid can start the project.
Delivery time starts when Shahid receives requirements from you.
Shahid works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Planning
Discovery call or async chat to understand your problem, define success metrics, and finalize the AI approach
Data Preparation
Data preprocessing, feature engineering, and preparation of your dataset for model training