ML Recommendation Engine
Intelligent recommendation system using collaborative filtering and deep learning. Increased user engagement by 45% with personalized content suggestions for 100K+ users.
I build robust backend systems and AI-powered solutions using Python. Specializing in scalable applications, machine learning, and data-driven technologies.
I'm a passionate Python Software Developer based in Uzbekistan with over 5 years of experience building robust backend systems and AI-powered applications. My journey in tech started with Python and evolved into expertise in machine learning and scalable system architecture.
I specialize in the Python ecosystem, working with Django, FastAPI, and TensorFlow to build intelligent applications. I excel at creating efficient APIs, implementing ML models in production, and designing data pipelines that handle millions of records.
When I'm not coding, you'll find me experimenting with new ML frameworks, contributing to open-source Python projects, or optimizing algorithms for better performance.
Intelligent recommendation system using collaborative filtering and deep learning. Increased user engagement by 45% with personalized content suggestions for 100K+ users.
Scalable FastAPI backend processing 1M+ requests daily. Real-time data aggregation with Redis caching, reducing response times by 80%.
Automated ETL pipeline processing 10TB+ daily data from multiple sources. Built with Apache Airflow and Pandas for reliable data transformation.
Deep learning model for medical image classification with 94% accuracy. Deployed CNN using PyTorch with real-time inference API serving 1K+ predictions daily.
Scalable Django-based CMS with multi-tenancy support. Advanced caching with Redis and Celery background tasks for content processing and SEO optimization.
AI-powered customer service chatbot using transformers and BERT. Handles 5000+ conversations daily with 89% resolution rate.
IBM - Coursera
Issued: January 2025
Comprehensive course covering Python fundamentals, data analysis with Pandas, NumPy, and data visualization using Matplotlib and Seaborn.
University of Michigan - Coursera
Issued: December 2024
Mastered Django framework for building robust web applications, including ORM, authentication, REST APIs, and deployment strategies.
Stanford University - Coursera
Issued: November 2024
Completed specialization covering supervised learning, unsupervised learning, neural networks, and deep learning fundamentals.
Amazon Web Services
Issued: October 2024
Demonstrated foundational knowledge of AWS Cloud, including core services, security, architecture, pricing, and support.
Udemy
Issued: September 2024
Learned containerization with Docker and orchestration with Kubernetes for scalable application deployment.
DataCamp
Issued: August 2024
Mastered complex SQL queries, window functions, CTEs, query optimization, and database performance tuning.
I'm always interested in hearing about Python backend projects, ML/AI opportunities, or data engineering challenges. Whether you need to discuss a project or just want to connect, feel free to reach out!