Christos Magganas

AI Engineer @ AI Makerspace | Applied AI Advisor @ Techgnosis

About Me

Hi, my name’s Christos and I’m an AI Engineer at AI Makerspace and a Applied AI Advisor at Techgnosis.

I am most skilled in: Python, AI/ML Ops, and Dancing.

I am passionate about leveraging AI and ML to address societal challenges, aiming to join a mission-driven team that encourages learning, growth, and innovation. I focus on community building and knowledge sharing, contributing as a volunteer and consultant to foster growth and collaborative problem-solving. I aspire to use my expertise for techno-philanthropic ventures, driving advancements that benefit humanity.

Current Experience

Techgnosis

Applied AI Advisor

January 2025 - Present

https://aimakerspace.io/ai-consulting/

Providing expert guidance on AI/ML projects to drive success.

An AI engineering team led by Christos Magganas, specializing in delivering AI solutions with a proven track record of success from his time with the AI Makespace community.

AI Makerspace

Community Builder & Peer Supporter

October 2023 - Present

https://aimakerspace.io/

Building a community of AI enthusiasts and professionals to foster learning and collaboration.

Facilitating “Christos’ Community Creations” bi-weekly and fostering a dynamic AI/ML community. As Peer Supporter for the AI Engineering cohort, I facilitate breakout sessions, assist learners, hold office hours, and provide guidance for final projects.

Toro

Founding Engineer - Lead AI Engineer

August 2024 - January 2025

https://www.mytoro.ai/

Leading AI Research & Development for Text-Based Food Ordering

As a Founding Engineer at Toro, I lead a team of AI engineers to develop cutting-edge AI solutions. My role involves strategic planning, project management, and hands-on development of innovative text-based food ordering systems.

Education

AI Makerspace

LLM Engineering & Operations

August 2023 - November 2023

Mastered LLM product development using LangChain and LlamaIndex frameworks, contributing to open-source projects and building end-to-end Generative AI applications.

FourthBrain

Machine Learning Engineer

December 2022 - May 2023

Specialized in Data-centric AI, ML Modeling, AI Applications, and MLOps. Built and deployed LLM applications using various frameworks and fine-tuning techniques.

University of California, Santa Barbara

B.S. Actuarial Science

2017

Developed strong foundation in mathematical and statistical methods for analyzing financial risks.

Projects

LLM Observability with Arize Phoenix and LlamaIndex

github.com/cmagganas

Built a framework for bringing transparency and control to LLM observability using Arize Phoenix and LlamaIndex.

Led an AI Makerspace Community Build Session focused on evaluating AI model performance, leveraging retrieval-augmented generation, and interpreting metrics for model improvement. The project emphasized data evaluation, Chain of Thought analysis, and best practices for debugging LLM applications.

Best Practices for Coding with LLMs

github.com/cmagganas/cursor-best-practices-demo

Developed and presented comprehensive guidelines for effectively utilizing LLMs in software development workflows.

Led an AI Makerspace Community Session on best practices for coding with LLMs, with a focus on practical implementation using Cursor. Presented findings at GitHub’s San Francisco AI/ML & Computer Vision Meetup, demonstrating effective techniques for leveraging AI assistance in software development while maintaining code quality.

Real-time Multilingual Custom Keyword Spotting

github.com/cmagganas

Developed a lightweight few-shot learning model for personalization of keyword spotting or wake-word detection.

This project was a significant milestone in my career, allowing me to apply my skills in AI and ML to create a practical solution for real-world applications.

Spotify Playlist Recommender

github.com/cmagganas

Developed a Spotify App that takes user's music taste to recommend songs and create a playlist for them using Spotify's Web API.

This project allowed me to explore the integration of AI with music, creating a personalized experience for users by leveraging Spotify’s Web API.

Past Experience

Learvo

AI Engineer

September 2023 - November 2023

Led design of mnemonic solutions using LangChain and LlamaIndex as LLM application architect.

Kaleidoscope Data

AI/ML Engineer

April 2023 - August 2023

Developed RAG-based Reddit Bot and conducted LLM research projects.

Cisco

Data Scientist (Intern)

May 2022 - September 2022

Implemented MLOps best practices and end-to-end observability solutions.

HCL Technologies

Data Analyst (Google Cloud Platform)

March 2021 - September 2021

Built dashboards and performed ETL tasks improving team efficiency by ~10%.

Commercial Energy of California

Data Analyst

September 2019 - November 2020

Led initiative to automate manual analyses and reports, improving efficiency and increasing revenue.

Property Management & Development

Manager

September 2013 - Current

Managed 10+ residential/commercial properties and supervised construction projects with 10+ workers.

A Little More About Me

Alongside my interests in AI/ML, software engineering and community building, some of my other interests and hobbies are:

  • Rock climbing
  • Yoga
  • Dancing
  • Stoicism
  • Entrepreneurship
  • Techno-Philanthropy

This is an image from one of my favorite movies, Castle in the Sky. It inspires me to always follow my heart, be courageous, and never give up on my dreams. Castle in the Sky