You will get a custom machine learning model built and deployed
Project details
I will build a custom machine learning solution tailored to your specific business or application requirements — from data preparation and model development to testing and delivery.
I focus on building practical, reliable ML solutions rather than simply training a model. Depending on your package, I can handle data preprocessing, feature engineering, model selection, training, validation, performance evaluation, documentation, source code, and data connectivity.
I can build classification, regression, prediction, risk detection, and other custom machine learning solutions using Python, Pandas, NumPy, Scikit-learn, XGBoost, and Random Forest.
Whether you need a standalone ML model, predictive analytics solution, or a model ready to integrate into an application, I will deliver clean, well-structured, and usable results.
I focus on building practical, reliable ML solutions rather than simply training a model. Depending on your package, I can handle data preprocessing, feature engineering, model selection, training, validation, performance evaluation, documentation, source code, and data connectivity.
I can build classification, regression, prediction, risk detection, and other custom machine learning solutions using Python, Pandas, NumPy, Scikit-learn, XGBoost, and Random Forest.
Whether you need a standalone ML model, predictive analytics solution, or a model ready to integrate into an application, I will deliver clean, well-structured, and usable results.
Machine Learning Tools
GitHub Copilot, MLflow, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$99
|
Standard
$199
|
Advanced
$299
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
About Malik Taj
AI/ML Engineer | Python | AI Agents | RAG | n8n Automation
Haripur, Pakistan - 8:16 am local time
Whether you already have a clear technical requirement or only an idea, I help turn it into a practical, working solution — from data and model development to AI agents, RAG, automation, APIs, dashboards, and deployment.
Are you looking to automate repetitive business processes?
Need an ML model that can be integrated into an application?
Want an AI chatbot that can understand your private business data?
Or need an AI agent that can connect different tools and execute real workflows?
That's where I can help.
I build solutions using Python, Machine Learning, AI Agents, RAG, LLM APIs, n8n, FastAPI, Streamlit, and third-party APIs.
🤖 AI & Machine Learning
✅ Machine Learning models for classification, regression, prediction & detection
✅ Data preprocessing, EDA, feature engineering & model evaluation
✅ Scikit-learn, Pandas & NumPy
✅ XGBoost & Random Forest
✅ Explainable AI (XAI) with SHAP
✅ End-to-end ML model development
✅ FastAPI APIs for ML models
✅ Streamlit AI/ML applications and dashboards
🧠 AI Agents & RAG
✅ AI Agents for business workflows
✅ RAG-based applications for private documents and business data
✅ LLM-powered chatbots and intelligent assistants
✅ Knowledge-base and document-based AI systems
✅ GPT/LLM API integrations
✅ AI-powered data analysis and decision-support systems
⚙️ AI Automation
✅ n8n workflow automation
✅ AI-powered business process automation
✅ API-to-API integrations
✅ CRM and lead-management automation
✅ WhatsApp automation
✅ Google Sheets / Excel automation
✅ Automated reporting, notifications & data processing
🔊 Voice AI
✅ AI voice-agent workflows
✅ Voice-based conversational systems
✅ Speech-to-AI and AI-to-voice integrations
✅ Voice automation connected with APIs and business workflows
🚀 Recent AI & Automation Projects
✅ AI HR Chatbot for 3,000+ Employees — CNIC-based salary lookup system with a ChatGPT-style interface.
✅ Live Factory Dashboard — Real-time attendance and production data integrated through Microsoft Graph API.
✅ RAG-Based Analytics Chatbot — Natural-language querying of payroll and business records using a RAG-based approach.
✅ BizFlow AI — SaaS automation platform for WooCommerce businesses with an AI-powered chatbot.
✅ AI Lead Management System — Odoo CRM integration with lead scoring, WhatsApp follow-ups, and email nurturing.
✅ YouTube-to-Social Media Automation — AI-powered content processing and automated publishing across multiple social platforms.
✅ AI Predictive Maintenance System — End-to-end industrial ML system using XGBoost, SHAP, FastAPI, and Streamlit to predict machine failure risk and provide explainable maintenance insights.
✅ Used Car Price Prediction System — End-to-end ML solution covering data preprocessing, EDA, model training, algorithm comparison, evaluation, and price prediction.
✅ AI Delivery Route Optimizer — Reinforcement-learning-based optimization project with an interactive Streamlit dashboard for route simulation and analysis.
🛠️ What I Can Build
• AI/ML prediction and classification systems
• Predictive maintenance solutions
• AI agents and RAG applications
• AI chatbots and intelligent assistants
• Voice AI workflows
• Business process automation
• n8n workflows and API integrations
• CRM and WhatsApp automation
• ML APIs with FastAPI
• AI/ML dashboards with Streamlit
• Data analysis and machine learning pipelines
• Custom AI-powered business solutions
I focus on building complete solutions, not isolated pieces of code:
Idea → Data → AI/ML → API → Automation → Application → Deployment
If you already have a clear requirement, I can jump straight into execution. If you have a business problem, manual workflow, dataset, or AI idea that you're not sure how to implement, send me the details and I'll help turn it into a practical solution.
Have an AI/ML, AI Agent, RAG, Voice AI, Python, or n8n project? Let's build it.
Steps for completing your project
After purchasing the project, send requirements so Malik Taj can start the project.
Delivery time starts when Malik Taj receives requirements from you.
Malik Taj works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Requirements
Review your requirements, dataset, target outcome, features, and technical constraints.
Data Preparation
Clean and preprocess the data, handle missing values, analyze features, and prepare the dataset for modeling.