You will get state of the art machine learning models in nlp
Project details
Hey,
Are you looking for a Natural Language Processing Expert?
You just found one! I have 5+ years of experience in this field provide you with state-of-the-art solutions in Machine and Deep Learning applied to Natural Language Processing.
I can solve problems in:
- Information retrieval
Finds documents of text that satisfies an information need from within large collections
- Named entity recognition
Seeks to locate and classify entities into predefined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
- Relation extraction
Extracts semantic relationships from the text, which usually occur between two or more entities
- Text classification/Document Classification
Assigns a text/document to one or more classes or categories.
- Document Ranking
- Annotation
- Topic modelling
Discovers the abstract “topics” that occur in a collection of documents
- Keyword Extraction
- Machine translation
- Parts of speech tagging
- Semantic Role Labeling
Feel free to reach me out to discuss your problem and I can help you with that.
Are you looking for a Natural Language Processing Expert?
You just found one! I have 5+ years of experience in this field provide you with state-of-the-art solutions in Machine and Deep Learning applied to Natural Language Processing.
I can solve problems in:
- Information retrieval
Finds documents of text that satisfies an information need from within large collections
- Named entity recognition
Seeks to locate and classify entities into predefined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
- Relation extraction
Extracts semantic relationships from the text, which usually occur between two or more entities
- Text classification/Document Classification
Assigns a text/document to one or more classes or categories.
- Document Ranking
- Annotation
- Topic modelling
Discovers the abstract “topics” that occur in a collection of documents
- Keyword Extraction
- Machine translation
- Parts of speech tagging
- Semantic Role Labeling
Feel free to reach me out to discuss your problem and I can help you with that.
What's included
| Service Tiers |
Starter
$300
|
Standard
$600
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 7 days | 15 days | 30 days |
Number of Revisions | 1 | 2 | 5 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 3 | 10 |
Number of Graphs/Charts | 3 | 5 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code |
Frequently asked questions
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AV
Ana V.
Sep 19, 2023
Need someone with deep NLP knowledge
Great work, thank you!
CR
Christine R.
May 1, 2023
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Eliza M.
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NA
Nicole A.
Jan 11, 2022
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Renan S.
Oct 6, 2021
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Amazing freelancer! Everything worked as i planned
About Igor
Expert-Vetted AI Leader | LLMs, RAG, AI Agents & Production ML
Salvador, Brazil - 8:22 am local time
I am an Expert-Vetted Upwork freelancer, a distinction reserved for the top 1% of talent on the platform. I bring together senior AI leadership, hands-on engineering, enterprise data science experience, and founder-level product thinking. On Upwork, I have delivered $400K+ in client work, 60 jobs, and 8,600+ hours across AI, machine learning, NLP, and data science projects.
My work is especially valuable for teams that need more than a prototype. I help clients move from idea to architecture, from architecture to implementation, and from implementation to reliable AI products that can be used in real business workflows.
🚀 What I can help you build
🤖 LLM-powered applications and AI assistants
📚 Retrieval-Augmented Generation, or RAG systems
🧠 AI agents for research, automation, and decision support
💬 Chatbots connected to private business knowledge bases
🔎 NLP pipelines for classification, summarization, extraction, and search
🧩 Semantic search and embedding-based recommendation systems
🛠️ Fine-tuning and model evaluation workflows
✍️ Prompt engineering and LLM workflow optimization
📈 Machine learning models for prediction, clustering, forecasting, and ranking
⚙️ Data products using Python, SQL, APIs, cloud tools, and vector databases
⭐ Why clients work with me
I combine strategic AI leadership with the ability to build hands-on. I can speak with executives about business value, work with product teams on scope and roadmap, and collaborate with engineers on architecture, implementation, and deployment.
My background includes:
🏆 Expert-Vetted / Top 1% Upwork talent
💼 Director-level experience in Data Science and AI
🏢 Principal-level AI/Data Science work in enterprise environments
🚀 Founder and CEO experience building a technology startup
🧠 Deep experience with Generative AI, LLMs, NLP, RAG, and agentic workflows
🎓 Strong academic foundation, including PhD, MSc, and research experience
🤝 Proven Upwork track record with long-term clients and enterprise projects
🛠️ Example projects I can support
📄 Building a custom AI assistant over your company documents
🔍 Creating a RAG pipeline with evaluation and monitoring
🤖 Automating business workflows with AI agents
🏷️ Developing an NLP classification or extraction system
📊 Improving an existing LLM product for accuracy, reliability, and cost
🏗️ Designing the technical architecture for an AI SaaS product
🧪 Turning research papers or AI concepts into working production systems
I am a good fit if you need someone who can understand your business problem, recommend the right AI architecture, and build a practical solution with clean, maintainable implementation.
If your goal is to build real AI products — not just demos — I can help you get there.
Steps for completing your project
After purchasing the project, send requirements so Igor can start the project.
Delivery time starts when Igor receives requirements from you.
Igor works on your project following the steps below.
Revisions may occur after the delivery date.
Exploratory Data Analysis and Data Preprocessing
Model Development
In this stage we choose the approach based on the type of problem that we need to solve and the results from the Exploratory Data Analysis.