Python in the world of AI

22 Apr 2026 19:30 Online Български Event Website

📅 Date: 22.04.2026

🎙️ Speaker: Teo Parashkevov – AI Team Leader with extensive experience in Python development and applied artificial intelligence

🔐 About the event:

This event is part of the Python user group https://dev.bg/groups/python/.

PROGRAM:

Python as a Foundation for AI Development
The AI Development Stack in Python
Large Language Model Applications
AI Agents and Autonomous Systems
Engineering Practices for AI Systems
Q&A session

The event is free but requires mandatory pre-registration.

USER GROUP: Python

This event is part of the Python user group. Every month we organize events on Python-related topics. To stay updated with interesting information, subscribe here.

ORGANIZER:

DEV.BG is a specialized job board for IT announcements.

Python job offers:

If you are looking for Python-related jobs, check out the offers here.

WHEN:

22.04.2026, 19:30

Looking forward to seeing you!

About the Speaker

Teo Parashkevov is an AI Team Leader with extensive experience in Python development and applied artificial intelligence. He leads a team of 10 engineers designing and developing intelligent systems combining modern machine learning techniques and scalable software engineering practices.

His work focuses on practical AI solutions integrating large language models, data pipelines, and backend infrastructure for real-world applications. Teo develops systems leveraging retrieval-based architectures, intelligent agents, and data-driven automation to help organizations better use their data and processes.

Besides leading AI development, Teo is involved in system architecture, mentoring engineers, and setting engineering standards for AI products. He guides projects from early experimentation and prototyping to production deployment, ensuring innovative and reliable solutions.

He is particularly interested in the intersection of software engineering and AI, exploring how Python and modern AI frameworks enable rapid, high-quality, maintainable systems. Through his work and community involvement, Teo shares practical knowledge on building robust AI applications and leading engineering teams in the evolving AI landscape.