You will get a Custom NLP Model for Entity Extraction or Sentiment Analysis
Project details
Extract deeper insights from your text data with a custom NLP model trained for your specific domain. Whether you need to identify named entities (products, people, locations) or analyze sentiment (positive, negative, neutral), I’ll build a high-performing model aligned with your business goals.
🔍 How It Works:
✅ Use Case Discovery — Clarify your goal: e.g., extract keywords, tag support tickets, or analyze sentiment.
✅ Data Prep — You provide text data (emails, reviews, docs); I help with or automate labeling.
✅ Model Training — Using spaCy, Transformers (BERT, RoBERTa), or custom LSTM/CNN, I train for accuracy.
✅ Evaluation & Tuning — Validate with precision, recall, and fine-tuning for better results.
✅ Deployment Output — Get a ready-to-use model or API to plug into your app or workflow.
💡 Use Cases:
✔️ Extract customer names, order numbers, or keywords
✔️ Monitor brand sentiment across social media
✔️ Automate ticket routing by topic or tone
✔️ Tag legal, medical, or financial documents
With a custom NLP model, you don’t just process language—you understand it.
🔍 How It Works:
✅ Use Case Discovery — Clarify your goal: e.g., extract keywords, tag support tickets, or analyze sentiment.
✅ Data Prep — You provide text data (emails, reviews, docs); I help with or automate labeling.
✅ Model Training — Using spaCy, Transformers (BERT, RoBERTa), or custom LSTM/CNN, I train for accuracy.
✅ Evaluation & Tuning — Validate with precision, recall, and fine-tuning for better results.
✅ Deployment Output — Get a ready-to-use model or API to plug into your app or workflow.
💡 Use Cases:
✔️ Extract customer names, order numbers, or keywords
✔️ Monitor brand sentiment across social media
✔️ Automate ticket routing by topic or tone
✔️ Tag legal, medical, or financial documents
With a custom NLP model, you don’t just process language—you understand it.
What's included $500
These options are included with the project scope.
$500
- Delivery Time 7 days
- Number of Revisions 2
- Number of Model Variations 1
- Number of Scenarios 1
- Number of Graphs/Charts 0
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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TO
Tourspackages O.
Oct 7, 2025
Expert in Agentic AI Skills Needed for Innovative Project
very good talent to work with
MA
Mitre A.
Sep 5, 2025
ChatGPT API for Cybersecurity Incident Response & Forensics Automation
A pleasure to work with. Wonderful communication, and helpful cooperation
AE
Abdelrahman E.
Nov 19, 2024
Creating landing page on WordPress
Extraordinary and professional as usuall
AM
Adana M.
Oct 25, 2024
ChatGTP
Uzair and his team did a wonderful job. The requirements were met, and one thing I really liked about him and his team is the collaborative approach - he helped find the right solution. The task was a bit of a challenge, but honestly the end result is amazing.
AM
Adana M.
Oct 25, 2024
ChatGTP
About Uzair
AI/ML Engineer | AI Automation | Python Developer | AI RAG Chatbot
74%
Job Success
Karachi, Pakistan - 7:27 pm local time
Agentic AI & Multi-Agent Systems
I specialize in cutting-edge agentic AI systems using Agent-to-Agent (A2A) architecture with Model Context Protocol (MCP). Recently developed a multi-agent travel platform with specialized agents (orchestrator, planner, booking) using Google Gemini, OpenAI, Mistral, Claude, LangChain, and LangGraph frameworks, featuring real-time API integration and agent coordination.
RAG & LLM Expertise:
I have built over 20 RAG chatbots for various customers, each with unique architectures and requirements. Some highlighted functionalities include: Replacing OpenAI models with fine-tuned open-source models. Answering questions from complex data structures such as CSV files, Excel sheets, MongoDB collections, website content, PDF files, Google Drive, Notion, Confluence, Emails, and more. Agent-based interactions with different APIs, creating support tickets, responding to emails, and autonomous task execution.
Stable Diffusion & Image Generation:
I have extensive experience with Stable Diffusion models, including SDXL, SD 1.5, SD 2.0, 2.1, and Flux models. My expertise includes fine-tuning and optimizing these models using approaches like Dreambooth and text-to-image techniques, both with and without LoRA. I published a Stable Diffusion optimization repository that speeds up models by 2-4 times.
ML Fine-tuning & Deployment:
Experienced in fine-tuning machine learning models for diverse domains, including NLP, computer vision, and predictive analytics. Skilled at optimizing model performance through advanced techniques such as hyperparameter tuning, transfer learning, and quantization. After training, I apply acceleration methods to reduce inference latency and improve scalability. I have deployed production-ready ML models on cloud platforms (AWS, GCP, Azure, Runpod) using Kubernetes, Docker, and serverless frameworks, ensuring reliability, cost efficiency, and seamless integration with business applications.
Feel free to contact me. I'm dedicated to providing top-notch work using the latest AI technologies.
Steps for completing your project
After purchasing the project, send requirements so Uzair can start the project.
Delivery time starts when Uzair receives requirements from you.
Uzair works on your project following the steps below.
Revisions may occur after the delivery date.
Provide dataset and goals
I train & validate the model and You get the ready-to-use NLP solution