Christos Magganas¶
AI Engineer | Community Builder | Techno-Philanthropist
We Can Help¶
I specialize in helping teams achieve their AI goals through:
- AI/ML Implementation: Building and deploying AI systems tailored to your needs
- LLM Engineering: Developing Large Language Model applications for your business
- MLOps: Implementing best practices for ML operations and deployment
- Community Building: Creating and nurturing technical communities for knowledge sharing
- Technical Consulting: Providing expert guidance on AI/ML projects to drive success
Recent Projects & Client Success Stories¶
Project | Challenge | Solution & Impact |
---|---|---|
LLM Observability | Lack of transparency in LLM applications | Led community webinar on using Arize Phoenix for LLM observability |
Notegold Content Flywheel | Converting meeting notes to valuable content | Modular system that transforms meeting notes into high-value content assets using AIDA framework |
Build Advisor | Guidance for AI application development | AI app that creates structured plans, generates product requirements, and implements PoC solutions |
Christos Creates Series | Educational content for AI engineers | Weekly series exploring practical AI projects with popular LLMs and frameworks |
Convo-Lingo Voice API | Learn new languages through conversation | Voice API solution using vapi for language learning with real-time conversation practice |
AI History Tutor | Creating engaging historical content | Voice AI application that generates interactive quizzes and conversations with historical figures like Napoleon and Tesla |
Real-time Multilingual KWS | Need for efficient voice interaction | Custom keyword spotting system that enhanced voice interaction in 5 languages |
Spotify Playlist Recommender | Generic music recommendations | ML-powered personalization, before Spotify Blend existed |
Who We Are¶
An experienced AI engineering team led by Christos Magganas, specializing in delivering high-impact AI solutions with a proven track record of success. We've helped companies across various industries implement AI systems that:
- Solve complex real-world problems with practical AI/ML solutions
- Scale efficiently using best-in-class MLOps practices
- Enhance technical capabilities through knowledge sharing and mentorship
- Enable teams with the right tools and methodologies for continued success