You will get Natural Language Processing(NLP) Services
Top Rated
Project details
🚀 Unlocking Potential with NLP Excellence!
As a top-rated freelancer specializing in Data Analysis, Machine Learning, and Natural Language Processing (NLP), I bring over 4 years of honed expertise to the table. My services empower businesses through:
1. 🤖 AI, NLP-Based Recommendation Systems
2. 📊 Data Analysis:
3. 🤖 Chatbot Development:
4. 📈 Social Media Analysis:
5. 🎓 Data Annotation and NLP and LLM Model Development and Deployment:
6. 🌐 API Integration: Leveraging Twitter, Reddit, and Discord APIs for enhanced functionality and integration.
Skill Set:
• 🧠 Frameworks: Tensorflow, Scikit Learn, Pytorch, Huggingface Transformers, OpenAI, Langchain
• 📝 NLP Libraries: NLTK, Gensim, Spacy
• 🌐 Web Development: Flask, Django for REST APIs
• 📊 Data Analysis: Pandas, Numpy, Scipy, Seaborn, Matplotlib, Dash
• 🤖 Chatbots: Rasa, Diagflow, Custom Designing
• 🗄️ Database Management:** SQL, Postgres, MariaDB
• ☁️ Cloud Services: AWS, GCP for ML and NLP Deployments
Ready to elevate your projects with automated precision? Let's discuss how I can bring value to your business.
As a top-rated freelancer specializing in Data Analysis, Machine Learning, and Natural Language Processing (NLP), I bring over 4 years of honed expertise to the table. My services empower businesses through:
1. 🤖 AI, NLP-Based Recommendation Systems
2. 📊 Data Analysis:
3. 🤖 Chatbot Development:
4. 📈 Social Media Analysis:
5. 🎓 Data Annotation and NLP and LLM Model Development and Deployment:
6. 🌐 API Integration: Leveraging Twitter, Reddit, and Discord APIs for enhanced functionality and integration.
Skill Set:
• 🧠 Frameworks: Tensorflow, Scikit Learn, Pytorch, Huggingface Transformers, OpenAI, Langchain
• 📝 NLP Libraries: NLTK, Gensim, Spacy
• 🌐 Web Development: Flask, Django for REST APIs
• 📊 Data Analysis: Pandas, Numpy, Scipy, Seaborn, Matplotlib, Dash
• 🤖 Chatbots: Rasa, Diagflow, Custom Designing
• 🗄️ Database Management:** SQL, Postgres, MariaDB
• ☁️ Cloud Services: AWS, GCP for ML and NLP Deployments
Ready to elevate your projects with automated precision? Let's discuss how I can bring value to your business.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, ChatGPT, Deeplearning4j, fastText, GitHub Copilot, GoLearn, Google AutoML, GPT-3, Keras, NLTK, NumPy, pandas, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, TensorFlow, Tesseract OCR, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,000
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 20 days | 40 days | 60 days |
Number of Revisions | 2 | 2 | 2 |
Number of Model Variations | 2 | 3 | 4 |
Number of Scenarios | 1 | 1 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $1,500Frequently asked questions
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About Abid
AI Developer | Multi-Agent Systems and Workflows
100%
Job Success
Bangkok, Thailand - 6:39 am local time
What I Build
- Multi-Agent Systems — LangGraph Supervisor architecture for autonomous, complex decision workflows
- RAG Pipelines — semantic search and retrieval with Pinecone, ChromaDB, and PGVector
- Workflow Automation — n8n + LangChain integrations with CRMs, ERPs, and third-party APIs
- Document Intelligence — contract analysis, data extraction, and invoice processing automation
- Negotiation & Decision Agents — multi-stakeholder AI with complex state and memory management
- AI Analytics — real-time KPI dashboards powered by LLM-based data processing
Recent Work
- Built a multi-agent deal extraction system for the music industry — specialized agents for Producer, Mixer, Featured Artist, and Publishing contracts operating under a LangGraph Supervisor pattern, deployed on GCP Cloud Run
- Automated contract analysis pipeline reducing manual document review from hours to minutes
- Developed multi-party negotiation agent handling complex decision trees across stakeholders
- Built RAG-powered internal knowledge system with PGVector similarity search at production scale
My Process
I scope the agent architecture before writing a line of code, deliver a working prototype within 48–72 hours for your validation, then build toward production with proper error handling, observability, and cloud infrastructure — not just demos.
Technical Stack
- Agent Frameworks: LangGraph, LangChain, LlamaIndex, CrewAI
- LLMs: GPT-4/4o, Claude, Gemini, LLaMA 3, Mistral, DeepSeek
- Automation: n8n, Google Apps Script
- Vector DBs: Pinecone, ChromaDB, FAISS, PGVector
- Cloud / Infra: GCP Cloud Run, AWS Lambda, Docker, CI/CD
- ML / NLP: PyTorch, HuggingFace Transformers, spaCy
- Research background: Published ML research in ISPRS International Journal of Geo-Information (2022)
Working With Me
I take on a limited number of projects at a time. If you're building an agent system from scratch, migrating from basic automation to LangGraph architecture, or automating a document-heavy workflow — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Abid can start the project.
Delivery time starts when Abid receives requirements from you.
Abid works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discussion with client
My first step of starting a project is to discuss the details with client to assure the requirements of client and get to know the client clarity about the task.
Gather information
Gather information about the task on hand, brainstorm ideas and methodologies for solving the task and dividing it into milestones.