You will get MLOpenLab - AI Education Tool, to help the beginner users to learn about AI
Project details
You'll get a package of your tool, which can be used in education level and also at the production level. It'll be helpful for the non-tech and the beginners to learn more about the AI in an easy way, I've created it with my deep understanding and making it more easy to use, It's one of my best projects that's been recognized by others.
Machine Learning Tools
BERT, ChatGPT, Google Sheets, GPT-3, Keras, MATLAB, Microsoft Excel, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, Tesseract OCR, Vertex AI, Weka, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 9 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 2 | 4 | 6 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | - |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $20
Additional Model Variation
(+ 1 Day)
+$20About Muhammad Faiz
AI/ML Engineer | Generative AI, LLM | MLOps | AI Agents | Ops
Lahore, Pakistan - 9:01 am local time
Hey there! I'm Muhammad Faiz Raza — a Certified AI/ML Engineer with 5 years of practical experience in building full-stack, scalable, and business-driven AI solutions. I specialize in transforming complex machine learning concepts into real-world applications that deliver real value.
Whether it’s building advanced LLM-powered applications, streamlining workflows with AI agents, or creating intelligent search systems using RAG pipelines — I’m here to help you unlock the full potential of AI.
🔹 What I Bring to the Table
✅ LLMs & RAG Systems – Proficient in LangChain, vector databases (FAISS, Chroma, Weaviate), Deepseek, OpenAI, and Hugging Face to build powerful Retrieval-Augmented Generation solutions.
✅ AI Agent Automation – I build intelligent workflows using tools like n8n, enabling seamless automation of business processes with AI-driven agents.
✅ Agentic AI – Skilled in building multi-agent systems using LangGraph, A2A, ADK, MCP, AG2, and CrewAI to create autonomous and collaborative AI pipelines.
✅ Generative AI Applications – Experienced in developing tailored LLM and GenAI applications that deliver real business impact.
✅ Computer Vision & NLP – From YOLO-based object detection and image segmentation to NLP tasks using BERT, GPT, and Transformer models.
✅ Cloud & DevOps Ready – Deploy AI solutions on AWS and GCP using Docker, FastAPI, and NGINX, optimized for Ubuntu environments.
✅ End-to-End AI Systems – I handle the complete lifecycle—from data and model development to deployment and scaling in production.
🔹 End-to-End AI Product Development
I build full-stack AI solutions—seamlessly integrating frontend interfaces with backend logic and advanced AI capabilities, delivering production-ready, intelligent applications.
🔹 Consultation Services
✅ Strategic Planning – Collaborate to design scalable architecture and deployment strategies for ML and Generative AI solutions. I help teams navigate the technical roadmap with clarity and focus.
✅ LLM Advisory – Simplify and explain the capabilities of large language models (GPT-4, LLaMA 3, etc.) for both technical and non-technical stakeholders, enabling confident decision-making.
✅ Feasibility Assessment – Evaluate the practicality and business alignment of AI use cases such as chatbots, RAG pipelines, agent-based systems, and voice AI, ensuring ROI-driven implementation.
✅ Expert Guidance – Uncover potential roadblocks in data ingestion, model fine-tuning, and infrastructure early. I offer tailored solutions with the right tools, frameworks, and best practices for seamless execution.
✅ DevOps & Scaling Insights – Provide expert recommendations for deploying AI systems on cloud environments using Docker, Kubernetes, Terraform, and CI/CD pipelines to enable reliable, scalable operations.
✅ Resource & Cost Optimization – Guide project scoping with actionable advice on team roles, required skills, timelines, and realistic budgets. Deliverables include detailed tech stacks, project plans, and execution roadmaps.
🔧 Tools & Tech Stack
Languages
• Python, JavaScript, TypeScript, Bash, SQL, C++, HTML, CSS
Frameworks & Libraries
• FastAPI, Flask,, LangChain, Hugging Face Transformers
• PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn
• Gradio, Streamlit, Plotly, OpenCV
LLMs & Generative AI
• OpenAI, Gemini, Deepseek, LLaMA, Mistral, Mixtral, Claude, Ollama
• LLM fine-tuning: LoRA, PEFT, QLoRA, SFT
NLP & CV
• Transformers, BERT, RNN, GRU, LSTM, NLTK, spaCy
• YOLO (v5/v8), image classification, object detection, segmentation
Databases & Vector Stores
• PostgreSQL, MySQL, MongoDB, SQLite
• ChromaDB, FAISS, Weaviate, Pinecone
Cloud & DevOps
• AWS (S3, Lambda, EC2), GCP (Vertex AI, Cloud Run), Azure
• Docker, Kubernetes (K8s), NGINX, Git, GitHub Actions
• Ubuntu/Linux server deployment & scripting
Automation & Agentic AI
• n8n, LangGraph, CrewAI, AG2, ADK, A2A, MCP
• AI toolchains and multi-agent workflows
APIs & Frontend
• REST APIs with FastAPI & Flask
• Integration with React.js, Next.js, HTML/CSS
Model Deployment
• Hugging Face Spaces, Gradio, Streamlit, Dockerized APIs, GCP, AWS EC2
🔹 Certifications:
🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 IBM AI Engineer & ML Engineer
🥇Oracle Generative AI Certified Professional
🥇Oracle AI Certified Foundations Associate
🥇Google Cloud Certification: Machine Learning Engineer Specialization
🥇Applied Data Science Specialization (V2)
🥇IBM Databases and SQL for Data Science
I'm passionate about solving real-world problems with AI and love bringing innovative ideas to life. If you're looking to harness the power of AI for your business or project—let’s connect and make it happen!
📌 GitHub: github.com/faizrazadec
📩 Feel free to reach out anytime—I’d love to hear about your project!
Steps for completing your project
After purchasing the project, send requirements so Muhammad Faiz can start the project.
Delivery time starts when Muhammad Faiz receives requirements from you.
Muhammad Faiz works on your project following the steps below.
Revisions may occur after the delivery date.
Model Collection
First the required models will be collected in one code, like importing all the models.
Model Working Test
After the model collection, all the models will be tested, if they are working in the host or if errors pop up, resolving the errors.