You will get Custom NLP Model Development for Text Classification and Sentiment Analysis
Project details
Generic AI APIs don't always understand your industry language, edge cases, or exact categories. I build custom NLP models for text classification, sentiment analysis, and language understanding, trained and tuned on your actual data, not a one-size-fits-all model.
Every model is built around your specific need, whether that's sentiment analysis on feedback, categorizing support tickets, detecting intent, or classifying documents. I handle the full pipeline from raw text to a working, evaluated model, preprocessing, feature engineering, training, and tuning for real-world accuracy.
What you get:
• Custom NLP model built around your specific classification or sentiment task
• Text preprocessing and feature engineering pipeline in Python
• Model training and tuning for real-world accuracy
• Handling of class imbalance where relevant (SMOTE and other techniques)
• Evaluation report showing accuracy, precision, and recall
• Clean, documented code your team can maintain or retrain later
Share your text data and the classification or sentiment task you need solved, and I will map out exactly how I would build it.
Every model is built around your specific need, whether that's sentiment analysis on feedback, categorizing support tickets, detecting intent, or classifying documents. I handle the full pipeline from raw text to a working, evaluated model, preprocessing, feature engineering, training, and tuning for real-world accuracy.
What you get:
• Custom NLP model built around your specific classification or sentiment task
• Text preprocessing and feature engineering pipeline in Python
• Model training and tuning for real-world accuracy
• Handling of class imbalance where relevant (SMOTE and other techniques)
• Evaluation report showing accuracy, precision, and recall
• Clean, documented code your team can maintain or retrain later
Share your text data and the classification or sentiment task you need solved, and I will map out exactly how I would build it.
AI Development Type
Model TuningAI Tools
PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$750
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - |
Frequently asked questions
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SR
Sharjeel R.
Jun 15, 2026
Experienced Data Engineer Needed for Ongoing Projects
Very professional and always willing to help! Would definitely work with him again as he is kind and hard working.
SF
Steven F.
Jan 15, 2026
Forensic MetaData Extraction
We worked closely to stand up the Phase‑1 pipeline from metadata capture through a reviewable timeline. Check‑ins were regular, questions were handled promptly, and fixes were applied quickly when testing surfaced formatting and encoding issues. The closing status snapshot clearly framed what’s done versus what rolls into Phase 2
PS
Paige S.
Dec 26, 2025
AIF-C01: AWS Certified AI Practitioner
AD
Adrien D.
Nov 18, 2024
Python trading bot review and deployment
Good communication and good at solving problems
SH
Simon H.
Sep 20, 2024
Python bachelor thesis in Visual Studio Code
Umair responds very quickly, was always friendly, and can quickly familiarize himself with complex programming of AI software. Thank you very much for your professional work!
About Umair
AI Automation Expert | n8n, AI Agents, Voice AI & GHL
89%
Job Success
Karachi, Pakistan - 12:53 pm local time
I've completed 46+ projects over 3+ years of freelance development, working with clients across SaaS, real estate, home services, e-commerce, and finance.
🤖 AI Agents & MCP Development
- Custom AI agents built with Claude and Model Context Protocol (MCP)
- AI agents for lead qualification, customer support, and internal operations
- MCP server setup, tool configuration, and Anthropic API integration
- n8n workflow automation and API integrations
- OpenAI, Claude, and Azure OpenAI implementation
- RAG (Retrieval Augmented Generation) and knowledge based AI systems
- Custom Python automation and agent orchestration
📞 Voice AI
- Inbound and outbound AI voice agents
- Vapi, Retell AI, ElevenLabs, and Twilio integration
- AI driven lead qualification and appointment booking
- Automated CRM updates and follow up sequences
- Missed call recovery and text back automation
⚙️ CRM & Workflow Automation
- GoHighLevel (GHL) workflows, pipelines, and custom integrations
- Lead capture, routing, and automated follow up systems
- Zapier and Make automation builds
- REST API integrations and webhook configuration
- Multi tool workflow orchestration across CRM, email, and calendar systems
🐍 Python & Cloud Infrastructure
- Python automation and backend development
- AWS Lambda and serverless architecture
- Azure Functions and Logic Apps
- Custom API development and third party integrations
- CI/CD pipelines and DevOps automation
Recent systems I've built include AI lead qualification agents using MCP based architecture, production trading bots, AWS Lambda automation pipelines, forensic data processing systems, Azure DevOps CI/CD pipelines, and NLP/LLM powered solutions.
I work best with clients who already have a CRM, dataset, or process in place that needs to be connected, automated, or made intelligent, but I can also design the full automation architecture from scratch if you're starting fresh.
Send me your current setup and what you're trying to achieve. I'll tell you exactly what I'd automate, what I wouldn't, and how I'd approach building it, no generic pitch, just a real assessment of your workflow.
Steps for completing your project
After purchasing the project, send requirements so Umair can start the project.
Delivery time starts when Umair receives requirements from you.
Umair works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & data preprocessing
Review your text data, labeling needs, classification task, then clean and prepare the data including class imbalance handling.
Feature engineering
Build the feature representation (embeddings, TF-IDF, or transformer-based) suited to your task.