I am a passionate AI Engineer with 6+ years of experience building, deploying, and maintaining robust machine learning systems in production. My expertise lies in the full AI lifecycle—from conceptualizing a solution with stakeholders, to researching and implementing state-of-the-art models (especially in NLP and LLMs), to building scalable MLOps pipelines for reliable deployment.

Brian Mauhl

I am a passionate AI Engineer with 6+ years of experience building, deploying, and maintaining robust machine learning systems in production. My expertise lies in the full AI lifecycle—from conceptualizing a solution with stakeholders, to researching and implementing state-of-the-art models (especially in NLP and LLMs), to building scalable MLOps pipelines for reliable deployment.

Available to hire

I am a passionate AI Engineer with 6+ years of experience building, deploying, and maintaining robust machine learning systems in production. My expertise lies in the full AI lifecycle—from conceptualizing a solution with stakeholders, to researching and implementing state-of-the-art models (especially in NLP and LLMs), to building scalable MLOps pipelines for reliable deployment.

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Language

English
Fluent

Work Experience

AI Research Intern | MIT Media Lab | Cambridge, MA | May 2019 – August 2019 at Syntheta Solutions
May 1, 2019 - August 30, 2019
- Researched and implemented novel Graph Neural Network (GNN) architectures for social network analysis. - Co-authored a published paper on "Few-Shot Learning for Anomaly Detection in Financial Networks" presented at NeurIPS 2019.

Education

Bachelor of Science in Computer Science and Mathematics at Carnegie Mellon University, Pittsburgh, PA
August 1, 2014 - May 31, 2018
Graduated Summa Cum Laude

Qualifications

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