A promising notebook never makes it to production
03 / Services / AI / ML
Natural Language ProcessingModels that earn their place.
Revolutionize your projects with (NLP) Natural Language Processing excellence. Hire skilled professional, ML integration, and domain-specific applications.
01 / The problem
What usuallygets in the way.
It is unclear whether the model beats a simple rule
Predictions drift and nobody measures it
02 / What I build
Capabilitiesin this service.
Document Intelligence & Extraction
Develop solutions for information extraction, named entity recognition, document parsing, and structured data generation from contracts, PDFs, emails, and business records.
Conversational NLP Systems
Create chatbots, assistants, and language interfaces that use natural language understanding to support customer service, internal tools, and business workflows.
Classification, Tagging & Entity Recognition
Apply NLP techniques for text classification, sentiment analysis, keyword extraction, intent detection, topic labeling, and named entity recognition across different business domains.
NLP Models & Deep Learning
Build NLP solutions using transformers, embeddings, deep learning architectures, and modern frameworks for more advanced language understanding and generation tasks.
Deployment, APIs & Automation
Deploy NLP models into production with APIs, cloud services, automation workflows, and scalable serving infrastructure for real-world business applications.
- Problem framing, baseline and evaluation plan
- A trained, versioned model with honest metrics
- An API or batch job ready for deployment
03 / How it works
From data to a monitored model
A typical architecture for this kind of work. Scroll to follow the flow, or hover a stage for detail.
Data
Labelled examples with known gaps and biases.
Features
Reproducible transformations shared by training and serving.
Training
Tracked experiments against a simple baseline.
Evaluation
Metrics that match the business cost of mistakes.
Serving
An API or batch job with versioned artefacts.
Monitoring
Drift and quality checks with retraining triggers.
04 / In depth
The details.
Natural Language Processing Services
Build intelligent language-based systems that can understand, analyze, and generate human language for real business use. I help businesses create NLP solutions for chatbots, document processing, text analytics, extraction, classification, and automation.
My Expertise in Natural Language Processing
I specialize in building custom NLP solutions for businesses across healthcare, legal tech, e-commerce, SaaS, and other knowledge-driven industries. My work combines language understanding, machine learning, deep learning, and modern NLP frameworks to create systems that can process text, extract meaning, automate tasks, and support better business decisions
- 🗣️ Text Analysis & Processing
- 📄 Document Intelligence & Extraction
- 💬 Conversational NLP Systems
- 🏷️ Classification, Tagging & Entity Recognition
- 🧠 NLP Models & Deep Learning
- ⚙️ Deployment, APIs & Automation
Text Analysis & Processing
Build NLP systems that can analyze, clean, summarize, classify, and interpret text data from documents, messages, forms, reviews, and other language-rich sources.
My Expertise in Data & AI Industry
From raw data to AI-powered decisions - I help businesses implement end-to-end machine learning workflows, analytics dashboards, and automation pipelines.
Hire MeRemote Data & AI Solutions
I’m a freelance Data Science and ML Engineer with 7+ years of experience transforming data into actionable insights. I specialize in building intelligent solutions, custom ML models, and scalable pipelines for startups and SMEs worldwide.
- United States (Remote Projects)
- Germany (AI Consultancy)
- EUROPE (Remote Projects)
- Remote - Available Worldwide
You Can find me here
As an independent Data & AI Engineer, I help companies unlock the full potential of their data. From predictive analytics to workflow automation, I offer strategic and technical support that drives real impact.
Book Free Consultation View Portfolio05 / Tech stack
Tools I usefor this work.
- Python
- scikit-learn
- PyTorch
- TensorFlow
- XGBoost
- FastAPI
More in AI / ML
06 / Related work
Proof,not promises.
MovieMateTF-IDF & Cosine Similarity Movie Recommender
Content-Based Recommendation System with TF-IDF & Cosine Similarity Machine Learning | Streamlit | TMDB API Integration
- Streamlit
- Angular
- TMDB API
- TF-IDF
- +2
Bird Disease Classification (MLOps)
Built an end-to-end deep learning MLOps pipeline for bird disease classification using TensorFlow/Keras, PyTorch, OpenCV for image processing, FastAPI for model serving, and Docker for containerization. Implemented automated training pipelines, model versioning, and deployment workflows.
U.S. Visa Approval Prediction (MLOps)
Developed a complete MLOps pipeline for visa approval prediction using Python, FastAPI, Docker, AWS (EC2, ECR, S3), XGBoost, and CatBoost. Implemented automated model training, versioning, deployment, and monitoring with CI/CD integration for production-grade machine learning.
Uber Data Analytics Pipeline
Built a robust time-series forecasting solution with over 90% accuracy using Python and statistical modeling.It enabled a growing online retailer to better manage inventory, reduce overstock, and forecast seasonal demand shifts.
CareSage - RAG Medical Chatbot
Developed an intelligent medical chatbot using Retrieval-Augmented Generation (RAG) with Flask, LangChain, Pinecone vector database, OpenAI embeddings, and sentence-transformers. The system processes medical PDFs using PyPDF to provide accurate, context-aware responses for healthcare queries with citation support.
n8n Workflow Automation
Built 8 comprehensive automation workflows using n8n platform integrated with Retell AI, GoHighLevel, Twilio, OpenAI GPT-4, and PostgreSQL. Projects included AI Voice Agent for customer service, Multi-Channel Communication Hub, Lead Qualification System, CRM Sync Automation, Content Generation Pipeline, Customer Onboarding Workflow, Voice-Based Appointment Scheduler, and BI Reporting Dashboard.
AI / ML
Need Natural Language Processing?Let’s scope it together.
Tell me about the goal, the data and the constraints. I’ll reply with questions and a practical first step.