based in Astana, Kazakhstan — currently working with and exploring AI systems, machine learning, Python backends, and blockchain/Web3 technology. I want to build production-grade RAG pipelines, LLM integrations, Big Data systems, and Web3 solutions from scratch.

interested in AI/ML engineering, LLM applications, blockchain development, and distributed systems — these concepts spark curiosity in me.

AI Systems          →   RAG pipelines · LLM APIs · LangChain agents · Vector search
Python Backend      →   FastAPI · Flask · Django · Async · REST API design
Big Data            →   Apache Spark · PySpark · Distributed ML pipelines
Blockchain / Web3   →   Smart contracts · DeFi tooling · Web3 integrations
Cloud & Infra       →   AWS (EC2, S3, RDS, Lambda) · Docker · CI/CD · GCP

AI / ML LLMs LangChain OpenAI API HuggingFace Transformers RAG pgvector Pinecone NLP scikit-learn

Backend Python FastAPI Flask Django PostgreSQL Redis SQLAlchemy REST APIs Async Python

Big Data Apache Spark PySpark HDFS YARN PyArrow Pandas

Cloud & DevOps AWS Docker Docker Compose GitHub Actions Linux GCP

Other C++ Dart Flutter n8n Git

Ecommerce dataset analysis project.

Repository contains:

• raw ecommerce datasets (orders, customers, products, reviews, sellers)
• Jupyter notebooks used for cleaning and analysis
• SQL queries for analytics
• Streamlit dashboard

Data is cleaned and merged in notebooks and saved as a processed dataset.

Some columns created during cleaning:

• order_month
• delivery_days
• revenue_per_order
• late_delivery_flag

The dashboard shows:

• monthly revenue trend
• revenue by state
• delivery time analysis
• review score distribution
• category revenue

Dashboard also includes:

• date range filter
• product category filter

Tech used:

Python Pandas SQL Plotly Streamlit Matplotlib

AI ML enthusiast data analyst python developer machine learning engineer EDA projects streamlit dashboard SQL analytics AI engineer PySpark developer blockchain developer Web3 developer

Astana, Kazakhstan · Open to collaborations & opportunities
Learning and building projects.