You will get a custom gen AI LLM model (NLP, RAG, fine-tuning, Machine Learning)
Project details
Get a fully customized AI solution built by a professional Data Scientist with expertise in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs). I design and deploy cutting-edge AI systems using models like Mistral, LLaMA, GPT, Falcon, and BERT, tailored for tasks like text classification, summarization, Q&A, semantic search, and chatbots.
This project includes end-to-end development: data preprocessing, embedding generation (e.g., with BGE, Instructor, or Sentence Transformers), fine-tuning, and RAG (Retrieval-Augmented Generation) pipelines using vector databases like FAISS, Chroma, or Pinecone. Solutions are built in Python, with tools like Hugging Face Transformers, LangChain, scikit-learn, and deployed via Docker, REST API, or to the cloud (AWS/GCP/Azure).
I ensure high performance through model evaluation, prompt engineering, and optimization techniques like quantization, LoRA, and PEFT. Whether you're building a smart assistant, internal search engine, or document analysis tool, I deliver scalable, production-ready results. Let’s bring your AI vision to life.
This project includes end-to-end development: data preprocessing, embedding generation (e.g., with BGE, Instructor, or Sentence Transformers), fine-tuning, and RAG (Retrieval-Augmented Generation) pipelines using vector databases like FAISS, Chroma, or Pinecone. Solutions are built in Python, with tools like Hugging Face Transformers, LangChain, scikit-learn, and deployed via Docker, REST API, or to the cloud (AWS/GCP/Azure).
I ensure high performance through model evaluation, prompt engineering, and optimization techniques like quantization, LoRA, and PEFT. Whether you're building a smart assistant, internal search engine, or document analysis tool, I deliver scalable, production-ready results. Let’s bring your AI vision to life.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Apache Spark MLlib, BERT, BigDL, Chainer, Databricks Platform, Keras, Microsoft Power BI, MLflow, NumPy, Open Neural Network Exchange, pandas, PyMC, Python Scikit-Learn, PyTorch, SAS, scikit-learn, SciPy, Scrapy, Sonnet, SQL, Tableau, TensorFlow, XGBoostWhat's included $10,000
These options are included with the project scope.
$10,000
- Delivery Time 60 days
- Number of Revisions 1
- Number of Model Variations 2
- Number of Scenarios 2
- Number of Graphs/Charts 2
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
Optional add-ons
You can add these on the next page.
Fast 30 Days Delivery
+$5,000
Additional Revision
+$1,000
Additional Model Variation
(+ 7 Days)
+$1,000
Additional Scenario
(+ 7 Days)
+$1,000
Additional Graph/Chart
(+ 5 Days)
+$1,000Frequently asked questions
About Vladyslav
Machine Learning | Data Scientist | AI Engineer | Data Analysis | LLM
Lodz, Poland - 4:08 am local time
Hi, I'm Vlad Didukh - Machine Learning Engineer, AI Engineer, and Data Scientist with 8+ years delivering practical AI solutions that increase revenue and reduce costs through measurable results.
As founder of Dastellar, data-driven solutions company, I've led Data Science, Machine Learning and Generative AI projects for 50+ clients across various industries. This gives me unique insight into both technical execution and business strategy.
🎯 Recent Client Results
- 30% reduction in out-of-stock events through Machine Learning demand forecasting
- 34% improvement in forecast accuracy for inventory management
- 28% decrease in operational time via AI-powered assistants
- 47% faster ML anomaly detection in sensor systems
- 22% reduction in overstocking through intelligent Machine Learning optimization
📊 Industry Success Stories
- E-commerce: Created customer lifetime value segmentation model which helped increase email ROI on high CLV customers by 84%, drop CAC by 38% and increase LTV by 25%.
- Manufacturing: Built predictive maintenance system reducing equipment downtime by 25% and cutting maintenance costs by 20%.
- Energy & Utilities: Deployed demand forecasting model improving grid efficiency by 22% and reducing energy waste.
🔧 Core Expertise & Domains
Machine Learning & Predictive Analytics Machine Learning Engineer specialization in supervised learning, unsupervised learning, deep learning, ensemble methods, time series forecasting, demand prediction, sales forecasting, churn prediction, recommendation systems, clustering, classification, regression analysis, predictive maintenance.
AI Engineering & Natural Language Processing (NLP) AI Engineer expertise in Generative AI, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), chatbots, conversational AI, sentiment analysis, text classification, document processing, knowledge extraction, AI agents, automation systems.
Data Science & Advanced Analytics Data Scientist proficiency in statistical analysis, hypothesis testing, A/B testing, exploratory data analysis (EDA), data visualization, business intelligence, anomaly detection, pattern recognition, feature engineering, data mining, fraud detection, personalization.
Computer Vision & Deep Learning AI Engineer experience in convolutional neural networks (CNNs), image classification, object detection, image segmentation, transfer learning, neural network optimization, model deployment.
MLOps & Data Engineering Machine Learning Engineer skills in model deployment, CI/CD pipelines, Docker containerization, cloud computing (AWS, GCP, Azure), data pipelines, ETL processes, model monitoring, scalable ML systems, LLMOps.
Tech Stack: Python, R, SQL, scikit-learn, Apache Spark, pandas, polars, AWS, TensorFlow, PyTorch, XGBoost, LightGBM, OpenAI API, Hugging Face, Transformers, AWS SageMaker, Docker, Kubernetes, Apache Airflow, Tableau, Power BI, AWS Athena, PostgreSQL.
✨ Why Clients Choose Me
- Business-first approach: Focus on ROI and measurable outcomes that increase revenue and improve efficiency
- Production-ready solutions: Machine Learning models that scale and deliver consistent results
- Fast delivery: Most projects completed within 2-4 weeks
- Full-stack capability: From Data Scientist analysis to AI Engineer deployment
- Proven track record: 50+ successful projects with quantified business impact
🚀 Ready to Get Started?
Send me a message with your data challenge, timeline, and budget range. I'll respond within 4 hours with a tailored approach and clear ROI projections.
Transform your data into competitive advantage - let's build something measurable and impactful that drives real business results.
Steps for completing your project
After purchasing the project, send requirements so Vladyslav can start the project.
Delivery time starts when Vladyslav receives requirements from you.
Vladyslav works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discovery & Use Case Definition
We’ll discuss your specific NLP or LLM use case—chatbot, Q&A, summarization, semantic search, etc.—and align on scope, data, and target outcomes.
Data Collection & Preprocessing
I’ll analyze and preprocess your text data (PDFs, CSVs, docs, KBs). This includes tokenization, cleaning, and formatting for training or retrieval.