I am a seasoned AI/ML engineer with 3+ years of producing production-grade ML systems. I specialize in multi-agent AI architectures with real-time inter-agent communication and cross-industry applications, including telecommunications and fraud detection. Beyond hands-on development, I teach data science and mentor interns, leading capstone projects and performance benchmarking initiatives. I thrive on turning complex problems into scalable, robust solutions and collaborating across teams to drive business impact.

Michael Nguyen

I am a seasoned AI/ML engineer with 3+ years of producing production-grade ML systems. I specialize in multi-agent AI architectures with real-time inter-agent communication and cross-industry applications, including telecommunications and fraud detection. Beyond hands-on development, I teach data science and mentor interns, leading capstone projects and performance benchmarking initiatives. I thrive on turning complex problems into scalable, robust solutions and collaborating across teams to drive business impact.

Available to hire

I am a seasoned AI/ML engineer with 3+ years of producing production-grade ML systems. I specialize in multi-agent AI architectures with real-time inter-agent communication and cross-industry applications, including telecommunications and fraud detection.

Beyond hands-on development, I teach data science and mentor interns, leading capstone projects and performance benchmarking initiatives. I thrive on turning complex problems into scalable, robust solutions and collaborating across teams to drive business impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Lecturer in Data Science at Australian Data and Cyber Institute
February 1, 2025 - Present
Deliver graph theory and machine learning courses (MAT203, ARI202); designed and taught curriculum and assessment, focusing on shortest path algorithms, neural network architectures, and optimization techniques such as Bayesian optimization for hyperparameter tuning.
AI and Machine Learning Engineer at Norwood Systems
August 1, 2022 - Present
Led development of a configurable multi-agent AI system with cross-agent communication protocols. Implemented attention-based inter-agent communication for collaborative problem-solving and real-time information extraction across telecom workflows; deployed on AWS/Azure with scalable performance.
Data Systems Intern at Swan Alliance
December 31, 2021 - October 22, 2025
Performed data cleaning and analysis; applied ML models to predict future trends; used NVivo to map networks and relationships across partners for strategic insights.
Graduate Financial Analyst at Finance Department, Ministry of Health
July 31, 2019 - October 22, 2025
Collaborated on bid evaluations, conducted financial audits of public hospitals, and managed data for medical equipment pricing and procurement.
Statistics and Mathematics Teaching Assistant at Bangor University, Wales
June 30, 2018 - October 22, 2025
Demonstrated and assisted 20+ students in Probability & Optimization and Statistical Methods; contributed to increased class participation and student achievement.

Education

Master of Data Science at University of Western Australia
January 11, 2030 - January 1, 2022
Bachelor of Science in Financial Economics at Bangor University, Wales
January 11, 2030 - January 1, 2018

Qualifications

Azure AI Fundamentals
January 11, 2030 - October 22, 2025
CrewAI Multi AI Agent Systems
January 11, 2030 - October 22, 2025

Industry Experience

Education, Software & Internet, Telecommunications, Healthcare, Government, Professional Services