Shakhriyorbek Boltabaev

Machine Learning Engineer
Shakhriyorbek Boltabaev
Machine Learning Engineer
Ургенч
shakhriyorbekboltabaev@gmail.com
+998 90 189 02 63
+36 70 346 4408
Специализации

Разработка сайтов
Комплексные решения
Поисковая оптимизация
Разработка игр
Консалтинг и документация

Навыки

Python
CSS
Django
XGBoost/LightGBM
HTML5
Машинное обучение

Обо мне

I’m an AI & Machine Learning Engineer specializing in Deep Learning, LLMs, and Intelligent Systems. I design and build end-to-end AI solutions — from research and prototyping to production deployment — helping startups, researchers, and businesses turn complex ideas into real, working AI systems.

My focus is on practical, high-impact AI: predictive modeling, recommendation engines, NLP systems, and autonomous intelligent workflows powered by modern deep learning and LLM architectures.

🛠️ Skills & Expertise:
✅ Programming Languages: Python, C++
✅ Frameworks: TensorFlow, Keras, PyTorch
✅Libraries: OpenCV, Matplotlib, Pandas, NumPy, Scikit-Learn, XGBoost
✅AI Techniques: EDA & Dataset Preprocessing, Transfer Learning, Model Fine-Tuning, Machine Learning (SVM, KNN, Regression, Decision Trees, Random Forest, Ensemble, Time Series), Deep Learning (ANN, CNN, YOLO, LSTMs, RNNs), OCR, Generative Models (Inpainting, Stable Diffusion, DALL-E, StyleGAN, Lora), Text-to-Speech & Speech-to-Text Models, LLMs (LangChain, LLaMA, BERT, OpenAI API, Prompt Engineering, GPT Fine-Tuning, Gemini, Mistral, Retrieval-Augmented Generation - RAG), NLP (Spacy, NLTK, NER, word2Vec, TF-IDF)
✅Tools: Anaconda, Docker, GitHub
✅Cloud Services: GCP (Vertex AI, BigQuery, AutoML), AWS (S3 Bucket, SageMaker, Elastic Beanstalk, EC2 instance), Azure (Azure AI Services, Azure ML, Azure Cognitive Services)
✅API Development: Django and FastAPI
✅Databases: Vector Database (Pinecone, ChromDB, mangoDB), SQL (PostgreSQL, MySQL)
✅Operating Systems: Windows, Linux, MacOS

🔹 Why Work With Me?
✔ Top Rated Plus on Upwork – 100% Job Success & 5-star reviews from happy clients.
✔ Results-Driven – I focus on delivering AI solutions that actually bring value to your business.
✔ Clear Communication – No tech jargon overload—I keep things simple and transparent.
✔ End-to-End AI Development – From idea to deployment, I handle everything.

I’m always excited to tackle new AI challenges and help businesses leverage AI to its full potential. If you have a project in mind, let’s chat and make it happen! 🚀

Portfolio

  • Automated Sentimental Analysis and Emotion Recognition

    IEEE None

    Developed an NLP-based sentiment analysis system to classify text as positive, negative, or neutral. Performed data preprocessing, tokenization, and feature extraction using TF-IDF and word embeddings. Implemented machine learning and deep learning models, including LSTM/RNN, to capture contextual meaning and improve accuracy. Evaluated performance with standard metrics and optimized the model for real-world text, demonstrating strong skills in NLP, text mining, and applied AI.
  • Automated Lung Disease Detection from X-ray

    O'zbekiston Sog'liq Saqlash Vazirligi None

    Built a deep learning–based medical imaging system to detect lung diseases from chest X-ray images. Applied image preprocessing, augmentation, and normalization to improve data quality. Trained CNN models (ResNet/EfficientNet) for multi-class classification of conditions such as pneumonia and other lung abnormalities. Evaluated performance using accuracy, precision, recall, and ROC-AUC, and optimized the model for reliable clinical decision support. Demonstrates skills in computer vision, deep learning, and healthcare AI.
  • E2E Recommendation Engine

    None

    Developed a full end-to-end recommendation system designed to deliver personalized suggestions using machine learning techniques. The project covers the complete pipeline including data preprocessing, feature engineering, model training, and evaluation. Implemented collaborative filtering and content-based approaches, with optimization for ranking relevance and scalability. Built using Python and common ML libraries, the system demonstrates practical experience in recommender algorithms, data-driven personalization, and real-world deployment concepts.
  • For other projects link below

    None

    Press the link

Education

  • Amity University in Tashkent

    Бакалавриат / Information and Technologies

    1 сентября 2020 г. - 1 июня 2024 г.
  • University of Szeged

    Магистратура / Computer Science

    1 сентября 2025 г. - Present

Work Experience

  • Product Manager

    Huawei Tech. Investment

    1 марта 2024 г. - 1 августа 2025 г.
  • Machine Learning Engineer

    P92 Kft.

    1 апреля 2023 г. - None