Hi, I'm

Leonardo Apolonio

Staff Machine Learning Engineer building intelligent text analytics and LLM systems at Qualtrics. 10+ years turning research into production ML.

I specialize in NLP, weak supervision, and human-in-the-loop approaches. Previously at Clarabridge, Oracle, and DARPA. MS Computer Science from Georgia Tech.

Experience

Staff Machine Learning Engineer

2021 — Present

Qualtrics

Lead design and operationalization of ML/LLM text analytics platforms serving enterprise customers
Built AI-driven topic detection and conversational summarization systems
Designed LLM-as-a-Judge evaluation frameworks for production quality assessment
Analyzed ~4M customer conversations to surface systemic insights

Principal Machine Learning Engineer

2019 — 2021

Clarabridge

Modernized legacy NLP systems by migrating rules-based solutions to ML approaches
Built and deployed text classification pipelines at enterprise scale

Principal Machine Learning Engineer

2017 — 2019

Oracle

Developed ML models for natural language understanding and text analytics products

Senior Data Scientist

2016 — 2017

DARPA

Applied machine learning to defense and intelligence problems
Published research on network traffic anomaly detection using recurrent neural networks

Senior Data Scientist & Software Engineer

2013 — 2016

Advisory Board Company

Built data science capabilities from the ground up across healthcare analytics

Senior Consultant

2010 — 2013

IBM

Supported FEMA critical infrastructure and disaster recovery systems

Education

M.S. Computer Science

Georgia Institute of Technology

Machine Learning Specialization · 2016

B.S. Computer Engineering

University of Maryland, College Park

2010

Projects

Science Replication

Automated system for assessing social science research reproducibility. Analyzes papers, executes code in Docker containers, and validates results using Claude's vision capabilities.

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