This portfolio brings together projects where I’ve built complete solutions using Python. From creating APIs with FastAPI, or PostgreSQL for data modeling, to deploying services on AWS Lambda. each project shows how I can take an idea from raw data all the way to a working application.
What you’ll find here:
Easy-to-use APIs for data and applications
Cloud-ready projects built for scale and efficiency
End-to-end solutions that connect data, automation, and services
A simple way to see how I design and deliver full projects—ready for real-world use
Transform your communication experience with a custom Skype bot built in Python, deployed on AWS, and designed to integrate with advanced LLM services. This project unlocks the potential of real-time conversations enhanced by powerful language models, offering seamless automation and intelligent responses.
Highlights:
Built with Python for flexibility and scalability
Deployed on AWS for reliable performance
Possibility to connects to LLM services for smart, context-aware interactions
Revolutionize chat automation with cutting-edge AI capabilities! 🚀
Unlock the power of clean and efficient data delivery with this project! Using FastAPI, I built APIs to serve data from a PostgreSQL database, demonstrating the value of query optimization and structured data handling. By leveraging Pydantic models, the project ensures robust validation and a clear contract for data exchange, essential for data engineering workflows.
Highlights:
Organized complex SQL queries for optimized performance and maintainability
Integrated FastAPI for rapid API development and high-speed response times
Implemented Pydantic models for structured validation and seamless integration
Ideal for data engineers looking to enhance backend systems and ensure clean, consistent data flow. 🚀