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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AI History Tutor Creating engaging historical content Voice AI application that generates interactive quizzes and conversations with historical figures like Napoleon and Tesla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

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